Open AccessMain‐lobe jamming suppression and target detection in signal ratio feature domain for multistatic radar
Author(s) -
Zhao Shanshan,
Liu Ziwei
Publication year - 2021
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/tje2.12047
Subject(s) - jamming , computer science , radar jamming and deception , radar , multistatic radar , signal (programming language) , feature (linguistics) , time domain , constant false alarm rate , digital radio frequency memory , artificial intelligence , pattern recognition (psychology) , pulse doppler radar , telecommunications , radar imaging , bistatic radar , computer vision , physics , linguistics , philosophy , thermodynamics , programming language
Abstract Main‐lobe blanket jamming is a challenging jamming pattern in electronic warfare. Based on the difference in spatial correlation between target echoes and jamming signals, signal cancellation has been used to suppress the main‐lobe jamming in multistatic radar. However, the cancellation residue and the extra superimposed noise would lead to serious degradation in target detection. In this paper, instead of cancelling the jamming in the power domain, a feature domain, named signal ratio feature domain, is defined to suppress main‐lobe jamming with the excepted targets retained simultaneously. The jamming signal is suppressed in the background due to the high correlation among different receivers, whereas the targets will be highlighted on account of its independence. Then, in the defined feature domain, a target detector with constant false alarm ratio in the Neyman–Pearson sense is applied to detect the highlighted targets. Numerical simulation is given to verify the jamming suppression ability of the proposed method, and the performance improvement in target detection compared with the available cancellation methods is also covered.