Synthesis and Effectivity Analysis of Robust Algorithms for Random Signal Detection in Non-Gaussian Interferences

UDC 621.396:51-74(045) DOI:10.18372/1990-5548. 61.14206

I. G. Prokopenko, I. P. Omelchuk, K. I. Prokopenko, A. A. Osipchuk Synthesis and Effectivity Analysis of Robust Algorithms for Random Signal Detection in Non-Gaussian Interferences // Electronics and Control Systems, N 3(61) – Kyiv: NAU, 2019. – pp. 9–17.

The article deals with the problem of synthesis of robust post-detection algorithms of random radar signal on the background of uncorrelated noise and сhaotic pulse interference. Two cases of aprioristic uncertainty are considered: 1) random modulated harmonic radar signal with random amplitude, distributed by Gaussian law with known parameters; 2) random modulated harmonic radar signal with unknown law of amplitude distribution. The problem is solved with the use of Wald’s reduction approach. Synthesis of the robust signal detection algorithm on background of chaotic pulse interference was don using Tukey model of “pollution”. The effectiveness and robustness of the several synthesized robust detection algorithms is investigated by Monte–Carlo method.
Index Terms—Signal processing; robust algorithms; radar signal detection; haotick puls interference; aproristick uncertainity.

References: 28 names.