RU2014110458A

RU2014110458A - METHOD FOR REDUCING THE INFLUENCE OF CLOSE INTERFERENCE ON THE FREQUENCY OF INTERFERENCE ON THE ASSESSMENT OF POWER OF A NARROWBAND SIGNAL

Info

Publication number: RU2014110458A
Application number: RU2014110458/07A
Authority: RU
Original assignee: Общество с ограниченной ответственностью "АВТЭКС"
Priority date: 2014-03-19
Filing date: 2014-03-19
Publication date: 2015-09-27

Abstract

1. Способ снижения влияния близких по частоте помех на оценку мощности узкополосного сигнала, включающий накопление мощности и амплитуд с весовыми коэффициентами на интервале, подобранном на основании априорных данных о помехе:, где Cp - весовые коэффициенты,- накопленная мощность, соответствующая отсчету n, P- последовательность значений мощности входного сигнала, представляющего собой сумму помехи и узкополосного сигнала, k - количество отсчетов, определяющее длительность интервала усреднения,, где, Cu - весовые коэффициенты,- накопленная амплитуда, соответствующая отсчету n, U- последовательность значений амплитуд входного сигнала, при этом накопление производят на интервале, малом относительно разницы частот сигнала и помехи, производят вычисление первичной оценки сигналов:,, гдеи- первичные оценки значения мощности, а затем на основании моделирования осуществляют дополнительную коррекцию этих первичных оценок.2. Способ по п.1, отличающийся тем, что выполняют дополнительную коррекцию первичных оценок, используя суперпозицию степенных рядов,,ии их комбинаций.3. Способ по п.2, отличающийся тем, что дополнительную коррекцию первичных оценок выполняют, используя соотношения,, где Peи Pe - результирующие оценки мощностей, а коэффициенты, b удовлетворяют следующим условиям: b∈[0.7; 1.0],∈[1.5; 2.5].1. A method of reducing the influence of close-in frequency interference on the narrow-band signal power estimation, including the accumulation of power and amplitudes with weight coefficients in the interval selected on the basis of a priori data on the interference: where Cp are weight coefficients, is the accumulated power corresponding to the n, P sample is the sequence of input signal power values, which is the sum of the interference and the narrow-band signal, k is the number of samples that determines the duration of the averaging interval, where, Cu are weight coefficients, is the accumulated the amplitude corresponding to the reference n, U is the sequence of values of the amplitudes of the input signal, while the accumulation is carried out on an interval small relative to the difference in the frequencies of the signal and the noise, the initial signal estimates are calculated:, where are the initial estimates of the power value, and then, based on the simulation, additional correction of these initial estimates. 2. The method according to claim 1, characterized in that they perform an additional correction of primary estimates using a superposition of power series, and their combinations. The method according to claim 2, characterized in that the additional correction of the primary estimates is performed using the relations, where Pe and Pe are the resulting power estimates, and the coefficients, b satisfy the following conditions: b∈ [0.7; 1.0], ∈ [1.5; 2.5].

Claims

1. A method of reducing the influence of close-in frequency interference on the narrow-band signal power estimation, including the accumulation of power and amplitudes with weight coefficients in the interval selected on the basis of a priori data on the interference:

where Cp - weighting factors,

is the stored power corresponding to the sample n ₀ , P _n is the sequence of input signal power values, which is the sum of the interference and the narrow-band signal, k is the number of samples determining the duration of the averaging interval,

where

U_{n} = \sqrt{P_{n}}

, Cu - weights,

- the accumulated amplitude corresponding to the sample n ₀ , U _n - the sequence of values of the amplitudes of the input signal, while the accumulation is carried out on an interval small relative to the difference in signal frequency and interference

\frac{2 π}{Δ ω}

calculate the initial assessment of the signals:

,

where

E 0_{n_{0}}

and

E {one}_{n_{0}}

- primary estimates of the power value, and then, based on the simulation, carry out additional correction of these primary estimates.

2. The method according to claim 1, characterized in that they perform an additional correction of primary estimates using a superposition of power series

E 0_{n_{0}}

,

E {one}_{n_{0}}

,

and

and their combinations.

3. The method according to claim 2, characterized in that the additional correction of the primary estimates is performed using the ratio

,

, where Pe ₂ and Pe are the resulting power estimates, and the coefficients a , b satisfy the following conditions: b∈ [0.7; 1.0], a ∈ [1.5; 2.5].