Protection of coherent pulse radars against combined interferences. 2. Analysis of influence of decorrelating factors on efficiency of adaptive sequential STSP

Viacheslav P. Riabukha; Andrii V. Semeniaka; Yevhen A. Katiushyn; Dmytro V. Atamanskiy

doi:10.3103/S0735272721110017

Authors

Viacheslav P. Riabukha Research Institute for Radar Systems “Kvant-Radiolokatsiya”, Kyiv, Ukraine https://orcid.org/0000-0002-8607-9551
Andrii V. Semeniaka Research Institute for Radar Systems “Kvant-Radiolokatsiya”, Kyiv, Ukraine https://orcid.org/0000-0002-1170-6151
Yevhen A. Katiushyn Research Institute for Radar Systems “Kvant-Radiolokatsiya”, Kyiv, Ukraine https://orcid.org/0000-0001-8200-7289
Dmytro V. Atamanskiy Ivan Kozhedub Kharkiv National Air Force University, Kharkiv, Ukraine https://orcid.org/0000-0002-8705-8584

DOI:

https://doi.org/10.3103/S0735272721110017

Keywords:

space-time signal processing, fluctuations of random estimate, combined interference, STSP, weight vector estimate, random estimate fluctuations, non-classified training samples, energy losses

Abstract

This is the second paper in a series of articles devoted to modern methods of protection of coherent-pulse radars against the combined interference (i.e., an additive mixture of internal noise, masking clutter and noise jamming). Quantitative analysis of the influence of decorrelating factors on the efficiency of sequential adaptive systems with separate space-time signal processing (STSP) against the background of combined interference has been performed under conditions when the spatial processing with noise jamming compensation precedes the inter-period processing with clutter compensation. The analysis-based values of energy losses during the fluctuations of the random estimate of the spatial processing weight vector obtained for each sounding period over the limited size classified sample of noise jamming confirm the need to fix (store) this vector for the period of the inter-period clutter compensation. It is shown that the additional lack of classification of the training sample of interference increases the energy losses.

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