低截获MIMO雷达改进MUSIC算法

doi:10.12305/j.issn.1001-506X.2022.02.17

Abstract

Abstract:

In the military field, airborne multiple input multiple output (MIMO) radars must detect maneuvering targets and prevent them from being intercepted by intercepted receivers. Aiming at this problem, an improved multiple signal classification (MUSIC) algorithm for non-uniform array monostatic MIMO radar with low intercept is proposed. By performing dimensionality reduction processing, whitening processing, time-frequency analysis, time-frequency point filtering, orthogonal joint diagonalization and other signal processing on the received signal after MIMO radar matching filtering, the direction angle estimation under low signal-noise ratio (SNR) and low signal duration is realized. The research results show that compared with the time-frequency MUSIC algorithm of MIMO radar in the same environment, the low intercept improved MUSIC algorithm has achieved a higher accuracy of spatial spectrum pointing, which can distinguish adjacent targets with an angle difference of only 1°.The applicable SNR is reduced by 2 dB, which ensures low interception performance.

Key words: multiple input multiple output (MIMO) radar, improved multiple signal classification (MUSIC) algorithm, radio frequency stealth, low intercept

CLC Number:

TN958

Xiaotong ZHAO, Jianjiang ZHOU. Improved MUSIC algorithm for MIMO radar with low intercept[J]. Systems Engineering and Electronics, 2022, 44(2): 490-497.

Figures/Tables 7

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Improved MUSIC algorithm for MIMO radar with low intercept

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