Adaptive signal recognition algorithm in multi-frequency radars against background noise
https://doi.org/10.34680/2076-8052.2021.2(123).71-75
Abstract
The formulation and solution of the problem of automatic recognition of target images by estimates of their impulse response (IR) is considered. These IR are obtained as a result of digital adaptive processing of the received random process (RP) in a multifrequency radar with simultaneous emission of signals with different carrier frequencies in conditions of parametric a priori uncertainty of statistical characteristics (SC). The received signal is the response of a finite impulse response (FIR) or infinite impulse response (IIR) filter against a background noise. It is assumed that the number of poles and zeros of the system function is a priori unknown and in the process of automatic recognition should be estimated from the samples of the input RP. In accordance with this condition, the weighting coefficients and the number of poles and zeros of the system filter function and its FIR or IIR components are estimated.
About the Authors
M. Y. Kuznetsov
Военно-космическая академия имени А.Ф. Можайского
Russian Federation
Russian Federation
A. A. Shatalov
Военно-космическая академия имени А.Ф. Можайского
Russian Federation
Russian Federation
V. A. Shatalova
Военно-космическая академия имени А.Ф. Можайского
Russian Federation
Russian Federation
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Review
For citations:
Kuznetsov M.Y., Shatalov A.A., Shatalova V.A. Adaptive signal recognition algorithm in multi-frequency radars against background noise. Title in english. 2021;(2(123)):71-75. (In Russ.) https://doi.org/10.34680/2076-8052.2021.2(123).71-75
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