基于模糊函数构型的动目标探测波形设计

doi:10.3969/j.issn.1001-506X.2020.02.02

Abstract

Abstract:

Aiming at traditional waveforms with poor Doppler tolerance, a low anti-interception ability and high range sidelobes for detecting some non-cooperative moving target, the idea of noise-linear frequency modulation (LFM) combined waveform is resorted and their phase sections are connected by utilizing a phase scalar factor. Then the fuzzy function map and majorization-minimization (MM) framework are introduced, and further a two-dimensional mapping template is used to optimize some range-Doppler interval. Therefore, the range-Doppler sidelobe suppression has been a multi-dimensional mathematical problem, the two-dimensional range-Doppler sidelobe suppression problem can be transformed into a high dimensional mathematics problem, by choosing two agency functions to approximate the solution domain of the original problem. The algorithm with cascade relaxation -zoom steps and phase correction, in each iteration, could speed up the optimization convergence. Simulations show that compared with several traditional algorithms, the phase-modified relaxed-scalar-weighted MM algorithm could achieve better convergence.

Key words: ambiguity function, moving target detection, low range sidelobes, low probability of interception, Doppler tolerance

CLC Number:

TN958

Yinan ZHAO, Qun SONG, Xiang FENG, Zhongjie WU, Zhanfeng ZHAO. Waveform design based on ambiguity function formulation for moving target detection[J]. Systems Engineering and Electronics, 2020, 42(2): 263-270.

Figures/Tables 7

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References 17

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Waveform design based on ambiguity function formulation for moving target detection

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