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Regression processing of Doppler signals in near-information information systems with combined modulation of the carrier by noise and deterministic processes

DOI 10.18127/j20700814-201901-04

Keywords:

V.K. Khokhlov – Dr.Sc.(Eng.), Professor, Department «Autonomous information and operating systems», Bauman Moscow State Technical University
E-mail: khokhlov2010@yandex.ru
A.K. Likhoedenko – Department «Autonomous information and operating systems», Bauman Moscow State Technical University; Student, Department of Applied Mathematics, MIEM HSE (Moscow)
E-mail: kost21v@rambler.ru


In this paper, the formation of nonperiodic selection functions in Doppler and pulse-Doppler autonomous information systems of short range radiolocation with noise frequency modulation of the carrier by random law and regression processing of signals at the Doppler frequency is considered.
The effect of the noise frequency modulation of the carrier on the spectrum of the Doppler signal at an arbitrary delay time of the signal reflected from the object is estimated. A noise frequency modulation, which is performed by a stationary normal random process with zero mean value, is considered. Dependences have been obtained to estimate the energy spectrum of the Doppler signal and its relative bandwidth. A sharp increase in the value of relative bandwidth is observed with a constant deviation of the noise frequency modulation carrier and a change in the signal delay (distance to the source of interference), which allows to eliminate the selection function periodicity for the selection of interference by the relative bandwidth of the energy spectrum and the application of the regression path for processing intervals between zeros of Doppler signal realizations. It is shown that the coefficient of initial regression, which is used as a priori information in regression algorithms, is a function of relative bandwidth.

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