CN106603177B - Channel fading model, channel signal generation method and simulation device - Google Patents
Channel fading model, channel signal generation method and simulation device Download PDFInfo
- Publication number
- CN106603177B CN106603177B CN201710110777.7A CN201710110777A CN106603177B CN 106603177 B CN106603177 B CN 106603177B CN 201710110777 A CN201710110777 A CN 201710110777A CN 106603177 B CN106603177 B CN 106603177B
- Authority
- CN
- China
- Prior art keywords
- unit
- gaussian noise
- noise filter
- generating
- filter coefficient
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000005562 fading Methods 0.000 title claims abstract description 49
- 238000000034 method Methods 0.000 title abstract description 16
- 238000004088 simulation Methods 0.000 title abstract description 12
- 230000007274 generation of a signal involved in cell-cell signaling Effects 0.000 title abstract description 4
- 238000001914 filtration Methods 0.000 claims abstract description 25
- 238000001228 spectrum Methods 0.000 claims description 13
- 238000004364 calculation method Methods 0.000 claims description 8
- 238000005070 sampling Methods 0.000 claims description 2
- 238000004891 communication Methods 0.000 abstract description 7
- 230000009286 beneficial effect Effects 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 4
- 238000010295 mobile communication Methods 0.000 description 3
- 230000003044 adaptive effect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000005315 distribution function Methods 0.000 description 2
- 230000003595 spectral effect Effects 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 1
- 230000000052 comparative effect Effects 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/391—Modelling the propagation channel
- H04B17/3911—Fading models or fading generators
Landscapes
- Physics & Mathematics (AREA)
- Electromagnetism (AREA)
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Noise Elimination (AREA)
Abstract
The invention discloses a channel fading model, a channel signal generation method and a channel signal simulation device, relates to the technical field of communication, and is used for improving the flexibility of the channel fading model. The channel fading model comprises a configuration parameter generation module, a Gaussian noise filter coefficient generation module and an FPGA module. The system comprises a configuration parameter generation module, a Gaussian noise filter coefficient generation module and a parameter configuration module, wherein the configuration parameter generation module is used for generating a configuration parameter list according to user requirements and sending the configuration parameter list to the Gaussian noise filter coefficient generation module; the Gaussian noise filter coefficient generating module is used for generating a Gaussian noise filter coefficient according to the received configuration parameter list and sending the Gaussian noise filter coefficient to the FPGA module; and the FPGA module is used for carrying out interpolation filtering processing on the received Gaussian noise filter coefficient to generate a channel signal ChanSig. The channel fading model provided by the invention is used for simulating and simulating a multipath fading channel.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a channel fading model, a method for generating a channel signal, and a simulation apparatus.
Background
The wireless communication technology is a communication method for exchanging information by using electromagnetic wave signals, and is applicable to the fields of 4G (the 4th Generation mobile communication technology, fourth Generation mobile communication technology), satellite communication, and the like. Among them, multipath fading is an important factor affecting the quality of wireless communication, and in particular, high-speed transmission of data and high-speed movement of a mobile terminal may aggravate multipath fading, and therefore, it is of great significance to study multipath fading channels.
In the prior art, when a multipath fading channel is studied, a channel fading model is usually required to be established, however, the inventors of the present application find that the channel fading model in the prior art cannot adaptively match configuration information of a user (for example, a moving speed of a mobile station), and thus there is a problem of poor flexibility.
Disclosure of Invention
The invention aims to provide a channel fading model, a channel signal generation method and a simulation device, which are used for improving the flexibility of the channel fading model.
In order to achieve the above purpose, the channel fading model provided by the present invention adopts the following technical scheme:
the channel fading model comprises a configuration parameter generation module, a Gaussian noise filter coefficient generation module and an FPGA module. The system comprises a configuration parameter generation module, a Gaussian noise filter coefficient generation module and a parameter configuration module, wherein the configuration parameter generation module is used for generating a configuration parameter list according to user requirements and sending the configuration parameter list to the Gaussian noise filter coefficient generation module; the Gaussian noise filter coefficient generating module is used for generating a Gaussian noise filter coefficient according to the received configuration parameter list and sending the Gaussian noise filter coefficient to the FPGA module; and the FPGA module is used for carrying out interpolation filtering processing on the received Gaussian noise filter coefficient to generate a channel signal ChanSig.
The channel fading model is provided with the modules, so that a configuration parameter list can be generated by the configuration parameter generation module according to the user requirement, a Gaussian noise filter coefficient is generated by the Gaussian noise filter coefficient generation module according to the configuration parameter list, and finally, interpolation filtering processing is performed on the Gaussian noise filter coefficient by the FPGA module to generate a channel signal ChanSig. Therefore, the channel fading model provided by the invention can be adaptive to the configuration information of the user, and compared with the prior art, the flexibility is obviously improved.
The invention also provides a method for generating the channel signal, which comprises the following steps: step S1, generating a configuration parameter list according to the user requirement; step S2, generating a Gaussian noise filter coefficient according to the configuration parameter list; step S3, performing interpolation filtering processing on the received gaussian noise filter coefficients, and generating a channel signal ChanSig.
The method for generating the channel signal is used in cooperation with the channel fading model, so that the method for generating the channel signal provided by the invention has the same beneficial effects as the channel fading model, and is not repeated herein.
The invention also provides an analog device, which comprises an ADC module, a DDC module, a group delay all-pass filter, a multi-path channel model, a multi-path superposition module, a path loss information superposition module, a shadow fading information superposition module and a DAC module which are connected in sequence; the multipath channel model comprises N paths, wherein the ith path is provided with an ith path power attenuation module, an ith path delay module and a multiplier which are sequentially connected, and the multiplier is also connected with the channel fading model; wherein i is a positive integer less than or equal to N.
Since the simulation apparatus includes the channel fading model as described above, the simulation apparatus of multipath fading signals provided by the present invention has the same beneficial effects as the channel fading model described above, and details are not repeated here.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained based on these drawings without creative efforts.
FIG. 1 is a block diagram of a channel fading model provided by an embodiment of the present invention;
FIG. 2 is a block diagram of a simulation apparatus according to an embodiment of the present invention;
fig. 3 is a graph of the calculated and actual values of the probability distribution function pdfx of the channel signal ChanSig.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example one
An embodiment of the present invention provides a channel fading model, as shown in fig. 1, where the channel fading model includes: a configuration parameter generating module, a Gaussian noise filter coefficient generating module and an FPGA (field Programmable Gate Array) module. The system comprises a configuration parameter generation module, a Gaussian noise filter coefficient generation module and a parameter configuration module, wherein the configuration parameter generation module is used for generating a configuration parameter list according to user requirements and sending the configuration parameter list to the Gaussian noise filter coefficient generation module; the Gaussian noise filter coefficient generating module is used for generating a Gaussian noise filter coefficient according to the received configuration parameter list and sending the Gaussian noise filter coefficient to the FPGA module; and the FPGA module is used for carrying out interpolation filtering processing on the received Gaussian noise filter coefficient to generate a channel signal ChanSig.
The channel fading model is provided with the modules, so that a configuration parameter list can be generated by the configuration parameter generation module according to the user requirement, a Gaussian noise filter coefficient is generated by the Gaussian noise filter coefficient generation module according to the configuration parameter list, and finally, interpolation filtering processing is performed on the Gaussian noise filter coefficient by the FPGA module to generate a channel signal ChanSig. Therefore, the channel fading model provided by the embodiment of the invention can be adaptive to the configuration information of the user, and compared with the prior art, the flexibility is obviously improved.
Alternatively, as shown in fig. 1, the FPGA module includes an IFFT (Inverse Fast Fourier Transform) unit, an FIR (Finite Impulse Response filter) unit, a first stage CIC (Cascade Integrator Comb) unit, and a second stage CIC unit. The IFFT unit is used for carrying out IFFT int multiple interpolation filtering on the received Gaussian noise filter coefficient to generate a first operation result and sending the first operation result to the FIR unit; the FIR unit is used for performing fint-times interpolation filtering on the first operation result to generate a second operation result and sending the second operation result to the first-stage CIC unit; the first-stage CIC unit is used for performing cicint 1-time interpolation filtering on the first operation result to generate a third operation result and sending the third operation result to the second-stage CIC unit; and the second-stage CIC unit is used for performing cicint 2-time interpolation filtering on the third operation result to generate a channel signal ChanSig.
Wherein the parameters ifftint, fint, cicint1 and cicint2 satisfy the following relations: if fs/[fd*(fint*cicint1*cicint2)]，fsAs the sampling rate of the signal, fdIs the maximum doppler shift.
Further, as shown in fig. 1, the configuration parameter generation module includes an interpolation multiple generation unit, and the interpolation multiple generation unit is configured to generate the interpolation multiple according to the parameter fdAnd fsDetermination of the parameter fschWherein f issch＝fs/(fdFint); the interpolation multiple generation unit is also used for generating the parameter f according toschDetermining a level of an interpolation multiple; the interpolation factor generation unit is further configured to determine, based on the level of the interpolation factor, values of the parameters cicint1 and cicint2 corresponding to the level of the interpolation factor from a preset table, and send cicint1 and cicint2 to the first-stage CIC unit and the second-stage CIC unit.
Wherein, the preset table is shown in table one:
watch 1
| Rank of | cicint1 | cicint2 | |
| fsch≥25*10^5 | 1 | 100 | 50 |
| 25*10^5＞fsch≥25*10^4 | 2 | 100 | 25 |
| 25*10^4＞fsch≥25*10^3 | 3 | 20 | 10 |
| 25*10^3＞fsch≥25*10^2 | 4 | 25 | 2 |
| 25*10^2＞fsch≥25*10^1 | 5 | 10 | 5 |
| 25*10^1＞fsch≥25 | 6 | 5 | 1 |
| 25＞fsch | 7 | 5 | 1 |
Optionally, the gaussian noise filter coefficient generation module is at a rate fs1Sending the Gaussian noise filter coefficient to an IFFT unit; wherein f iss1The following relationship is satisfied: f. ofs1＝ifftint*fd。
Further, as shown in fig. 1, the configuration parameter generation module further includes a filter spectrum generation unit and a zero value calculation unit, and the gaussian noise filter coefficient generation module includes a gaussian noise generation unit in a frequency domain, a doppler filtering unit, and a zero value padding unit.
Wherein, the filter frequency spectrum generating unit is used for generating the carrier frequency point f according to the moving speed V and the carrier frequency point f of the mobile stationcCalculating to obtain a parameter fdAccording to fdTo obtain the mostThe number of points N required for large Doppler shift, the spectral density delt _ f is obtained by using N, and f is setdSubstituting delt _ f into a Jakes power spectrum density formula to obtain a filter spectrum SEZ, and transmitting the filter spectrum SEZ to a Doppler filtering unit; wherein f isd＝(fc*V)/c，N＝2*(fd/fs1)*N_INV，delt_f＝(2*fd) and/N, c is the propagation speed of light, and N _ INV is the number of points of the IFFT unit. The Jakes power spectral density formula is:
The zero value calculation unit is used for calculating the number Z of zero values required to be filled by the zero value filling unit according to the parameters N and N _ INV and transmitting the parameter Z to the zero value filling unit; wherein Z is (N _ INV-N).
The Gaussian noise generating unit is used for generating the Gaussian noise of the frequency domain and transmitting the Gaussian noise of the frequency domain to the Doppler filtering unit. The Doppler filtering unit is used for multiplying the received Gaussian noise of the frequency domain and the filter spectrum SEZ to obtain a fourth operation result, and sending the fourth operation result to the zero-value filling unit. And the zero value filling unit is used for performing zero value filling on the fourth operation result according to the parameter Z sent by the zero value calculation unit to obtain the coefficient of the Gaussian noise filter.
Illustratively, N _ INV 65536.
To facilitate understanding by those skilled in the art, a specific example is given below: when f isd＝10Mhz，fcWhen the value is 6Ghz, f isd＝(fcV)/c, i.e. V150 KM/S, so that high moving speed can meet the requirements of the present and the future for a long time.
In addition, to further understand the advantages of the channel fading model, the following calculation is performed on the actual value of the probability distribution function pdfx of the channel signal ChanSig, and the specific matlab calculation procedure is described in the following code:
the above is the code, and accordingly, the theoretical calculation formula of pdfx is as follows:
pdfx＝(x.*(exp(-(x.*x)./(2*sigma_u*sigma_u))))./(sigma_u*sigma_u)
the comparative output pattern is shown in fig. 3.
The channel fading model provided by the embodiment of the invention can better cover the speed limit of the mobile station, can meet the requirements of multiple fields such as mobile communication, satellite communication, radar and the like on the channel, expands the application range of a frequency domain filtering method, and can better approach the simulation of a real channel.
Example two
The embodiment of the invention provides a method for generating a channel signal, which comprises the following steps: step S1, generating a configuration parameter list according to the user requirement; step S2, generating a Gaussian noise filter coefficient according to the configuration parameter list; step S3, performing interpolation filtering processing on the received gaussian noise filter coefficients, and generating a channel signal ChanSig.
It should be noted that, the method for generating a channel signal is used in cooperation with the channel fading model described in the first embodiment, and therefore, specific details of each step of the method for generating a channel signal may be referred to in the related description of the first embodiment, and are not described herein again.
The method for generating a channel signal is used in cooperation with the channel fading model described in the first embodiment, and therefore, the method for generating a channel signal provided in the embodiment of the present invention has the same beneficial effects as the channel fading model described in the first embodiment, and details thereof are not repeated here.
EXAMPLE III
An embodiment of the present invention provides an Analog device, as shown in fig. 2, the Analog device includes an ADC (Analog to Digital Converter) module, a DDC (Digital Down Converter) module, a group delay all-pass filter, a multipath channel model, a multipath superposition module, a path loss information superposition module, a shadow fading information superposition module, and a DAC (Digital to Analog Converter) module, which are connected in sequence; the multipath channel model comprises N paths, wherein the ith path is provided with an ith path power attenuation module, an ith path delay module and a multiplier which are sequentially connected, and the multiplier is also connected with the channel fading model; wherein i is a positive integer less than or equal to N. It should be noted that the simulation apparatus can be used to accurately simulate the multipath fading signal.
Since the simulation apparatus includes the channel fading model according to the first embodiment, the simulation apparatus provided in the embodiment of the present invention has the same beneficial effects as the channel fading model according to the first embodiment, and details thereof are not repeated herein.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (6)
1. A channel fading model is characterized by comprising a configuration parameter generation module, a Gaussian noise filter coefficient generation module and an FPGA module; wherein,
the configuration parameter generation module is used for generating a configuration parameter list according to the user requirement and sending the configuration parameter list to the Gaussian noise filter coefficient generation module;
the Gaussian noise filter coefficient generating module is used for generating a Gaussian noise filter coefficient according to the received configuration parameter list and sending the Gaussian noise filter coefficient to the FPGA module;
the FPGA module is used for carrying out interpolation filtering processing on the received Gaussian noise filter coefficient to generate a channel signal ChanSig;
the FPGA module comprises an IFFT unit, an FIR unit, a first-stage CIC unit and a second-stage CIC unit;
the IFFT unit is used for carrying out IFFT int multiple interpolation filtering on the received Gaussian noise filter coefficient to generate a first operation result and sending the first operation result to the FIR unit;
the FIR unit is used for performing fint-times interpolation filtering on the first operation result to generate a second operation result and sending the second operation result to the first-stage CIC unit;
the first-stage CIC unit is used for performing cicint 1-time interpolation filtering on the first operation result to generate a third operation result and sending the third operation result to the second-stage CIC unit;
the second-stage CIC unit is used for performing cicint 2-time interpolation filtering on the third operation result to generate a channel signal ChanSig;
wherein the parameters ifftint, fint, cicint1 and cicint2 satisfy the following relations: ifftint ═ fs/[ fd (fint cicint1 cicint2) ], where fs is the sampling rate of the signal and fd is the maximum doppler shift.
2. The channel fading model according to claim 1, wherein the configuration parameter generating module comprises an interpolation multiple generating unit, the interpolation multiple generating unit is configured to determine a parameter fsch according to the parameters fd and fs, wherein fsch is fs/(fd fint); the interpolation multiple generation unit is also used for determining the level of the interpolation multiple according to the parameter fsch; the interpolation factor generation unit is further configured to determine, based on the level of the interpolation factor, values of the parameters cicint1 and cicint2 corresponding to the level of the interpolation factor from a preset table, and send cicint1 and cicint2 to the first-stage CIC unit and the second-stage CIC unit.
3. The channel fading model of claim 2, wherein the level of the interpolation multiple is 7 in total.
4. The channel fading model of claim 1, wherein the gaussian noise filter coefficients generation module sends the gaussian noise filter coefficients to the IFFT unit at a rate fs 1; wherein fs1 satisfies the following relationship: fs1 is ifftint fd.
5. The channel fading model according to claim 4, wherein the configuration parameter generating module further comprises a filter spectrum generating unit and a zero value calculating unit, and the Gaussian noise filter coefficient generating module comprises a Gaussian noise generating unit in a frequency domain, a Doppler filtering unit and a zero value filling unit; wherein,
the filter frequency spectrum generating unit is used for calculating to obtain a parameter fd according to the moving speed V and the carrier frequency point fc of the mobile station, obtaining the point number N required by the maximum Doppler frequency shift according to the fd, obtaining the frequency spectrum density delt _ f by utilizing the N, substituting the fd and the delt _ f into a Jakes power spectrum density formula to obtain a filter frequency spectrum SEZ, and transmitting the filter frequency spectrum SEZ to the Doppler filtering unit; wherein, fd is (fc × V)/c, N is 2 × f (fd/fs1) × N _ INV, delt _ f is (2 × fd)/N, c is the propagation speed of light, and N _ INV is the number of points of the IFFT unit;
the zero value calculation unit is used for calculating the number Z of zero values required to be filled by the zero value filling unit according to the parameters N and N _ INV and transmitting the parameter Z to the zero value filling unit; wherein Z ═ N _ INV-N;
the Gaussian noise generating unit is used for generating Gaussian noise of a frequency domain and transmitting the Gaussian noise of the frequency domain to the Doppler filtering unit;
the Doppler filtering unit is used for multiplying the received Gaussian noise of the frequency domain and the filter spectrum SEZ to obtain a fourth operation result and sending the fourth operation result to the zero-value filling unit;
and the zero value filling unit is used for performing zero value filling on the fourth operation result according to the parameter Z sent by the zero value calculation unit to obtain the coefficient of the Gaussian noise filter.
6. The channel fading model of claim 5, wherein N _ INV 65536.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710110777.7A CN106603177B (en) | 2017-02-28 | 2017-02-28 | Channel fading model, channel signal generation method and simulation device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710110777.7A CN106603177B (en) | 2017-02-28 | 2017-02-28 | Channel fading model, channel signal generation method and simulation device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106603177A CN106603177A (en) | 2017-04-26 |
| CN106603177B true CN106603177B (en) | 2020-10-27 |
Family
ID=58588154
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710110777.7A Active CN106603177B (en) | 2017-02-28 | 2017-02-28 | Channel fading model, channel signal generation method and simulation device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106603177B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111030644B (en) * | 2019-12-19 | 2024-02-06 | 上海海洋大学 | Finite time dissipation filtering method of nonlinear networked control system |
| CN111585675B (en) * | 2020-04-30 | 2022-07-26 | 中国电力科学研究院有限公司 | Power communication channel simulation device and working method thereof |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102098025A (en) * | 2009-12-11 | 2011-06-15 | 大唐移动通信设备有限公司 | Design method and design device for cascade filter |
| WO2014166552A1 (en) * | 2013-04-12 | 2014-10-16 | Rohde & Schwarz Gmbh & Co. Kg | Signal generating device with integrated fading generating unit and signal generating method |
| CN105049142A (en) * | 2015-07-16 | 2015-11-11 | 中国电子科技集团公司第四十一研究所 | Dual-path static baseband channel simulating device and method |
| CN105071875A (en) * | 2015-08-26 | 2015-11-18 | 天津大学 | Field intensity measuring system and measuring method thereof |
-
2017
- 2017-02-28 CN CN201710110777.7A patent/CN106603177B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102098025A (en) * | 2009-12-11 | 2011-06-15 | 大唐移动通信设备有限公司 | Design method and design device for cascade filter |
| WO2014166552A1 (en) * | 2013-04-12 | 2014-10-16 | Rohde & Schwarz Gmbh & Co. Kg | Signal generating device with integrated fading generating unit and signal generating method |
| CN105049142A (en) * | 2015-07-16 | 2015-11-11 | 中国电子科技集团公司第四十一研究所 | Dual-path static baseband channel simulating device and method |
| CN105071875A (en) * | 2015-08-26 | 2015-11-18 | 天津大学 | Field intensity measuring system and measuring method thereof |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106603177A (en) | 2017-04-26 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10050659B2 (en) | Systems and methods for non-linear digital self-interference cancellation | |
| US10211856B1 (en) | Hardware scalable channelizer utilizing a neuromorphic approach | |
| KR100893736B1 (en) | Channel Sounding System and Method for Wideband Single Carrier Mobile Communication | |
| JP2006094486A (en) | Transmitter and transmission method | |
| CN115001913A (en) | A digital-assisted full-duplex frequency-domain self-interference cancellation method | |
| CN106603177B (en) | Channel fading model, channel signal generation method and simulation device | |
| CN1702986B (en) | Baseband Multipath Fading Channel Simulator | |
| CN111722198B (en) | A signal generation method and system that combines radar detection and interference | |
| CN111181659B (en) | Doppler effect implementation method of wireless channel simulator based on 5G | |
| CN115396054B (en) | Method for constructing multipath fading channel model | |
| CN115549722A (en) | Variable step size normalized LMS full-duplex nonlinear self-interference cancellation method and system | |
| CN106850103B (en) | Method and device for correcting group delay distortion | |
| Luan et al. | Robust digital non-linear self-interference cancellation in full duplex radios with maximum correntropy criterion | |
| Ibrahim et al. | OFDM over wideband ionospheric HF channel: Channel modelling & optimal subcarrier power allocation | |
| Shilling et al. | Evaluating Analog Self-Interference Cancellation for In-Band Full-Duplex Wireless Communication. | |
| CN103716018B (en) | Digital broadband excitation source implement device and method | |
| JP2003323292A (en) | Random number sequence generation device, random number sequence generation method, and propagation model simulation device and method | |
| CN113747467A (en) | Design method of synchronous and asynchronous NOMA system of nonlinear waveform | |
| EP4459934A1 (en) | Wideband response acquisition from multiple narrowband analog observations | |
| Pagani et al. | A CCSDS 131.2-B compliant telemetry downlink hardware-software emulation platform for next-generation Earth observation missions | |
| Cheng et al. | Complexity-reduced single sideband and narrowband doppler spectrum filtering method for ATG fading channel simulation | |
| Feng et al. | Real-time hardware emulation of frequency non-stationary UWB channels with continuous frequency response | |
| Nieman et al. | FPGA implementation of a message-passing OFDM receiver for impulsive noise channels | |
| JP2570158B2 (en) | Fading simulator | |
| Lin et al. | Air-Induced Passive Intermodulation Modeling Method Based on CNN-LSTM-FIR Neural Network |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CP03 | Change of name, title or address |
Address after: Room 109-111, 1 / F, 17 / F, Zhongguancun Software Park, 8 Dongbeiwang West Road, Haidian District, Beijing, 100193 Patentee after: Ruixinfeng Aerospace Technology (Beijing) Co.,Ltd. Country or region after: China Address before: Room 109-111, 1 / F, 17 / F, Zhongguancun Software Park, 8 Dongbeiwang West Road, Haidian District, Beijing, 100193 Patentee before: BEIJING RINFON TECHNOLOGY Co.,Ltd. Country or region before: China |
|
| CP03 | Change of name, title or address |