一种步进频率信号认知雷达波形优化设计方法

doi:10.7527/S1000-6893.2016.0063

Abstract

Abstract:

Cognitive radar is applied to diverse tasks, such as searching, tracking, imaging and recognition. To improve its comprehensive performance, various factors need to be considered to optimize the waveform. In this paper, a waveform optimization method for cognitive radar with stepped-frequency signal is proposed based on the RIPless compressed sensing (CS). Firstly, a sparse model of echo signal is established and the relationship between this model and the ambiguity function of transmitting signal is also analyzed. Secondly, on the basis of the RIPless compressed sensing, the waveform design translates to the optimization for the correlation coefficients and the covariance matrix condition numbers of a certain distribution. Then, the optimized pulse repetition intervals and carrier frequencies can be obtained through an adaptive optimal algorithm. Compared with the traditional method, a closed loop from information feedback to reconstruction between the signal transmitting and receiving is developed. Moreover, it can reconstruct the target one dimensional radial range profiles accurately with high probability and optimize the ambiguity function of transmitting signal simultaneously. Finally, the effectiveness of the proposed method is proved by simulations.

Key words: waveform design, cognitive radar, compressed sensing, ambiguity function, stepped-frequency signal

CLC Number:

V243.2
TN957

CHEN Chunhui, ZHANG Qun, LUO Ying. A waveform optimization designing method for cognitive radar with stepped-frequency signal[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2016, 37(7): 2276-2285.

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A waveform optimization designing method for cognitive radar with stepped-frequency signal

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