Designing Low Side-Lobe Level-Phase Coded Waveforms for MIMO Radar Using P -Norm Optimization
IEEE Transactions on Aerospace and Electronic Systems(2023)
摘要
The detection performances of MIMO radar can be improved by waveform diversity technology. The waveform diversity gain depends on the correlation side-lobe level of the orthogonal waveform set. Generally, peak side-lobe level (PSL) and integrated side-lobe level (ISL) are two most important performance metrics of the correlation side-lobe level. Few existing orthogonal waveform set design algorithms can minimize PSL and ISL simultaneously. To tackle this problem, this article first proposes a correlation side-lobe performance metric in the form of
p
-norm, denoted by
p
-ISL. Then, in order to minimize the
p
-ISL, this article develops a
p
-MM algorithm based on majorization–minimization (MM) framework, which transforms the complex
p
-order polynomial minimization problem into a series of low-order simple optimization problems. Numerical results show that the
p
-MM algorithm can effectively suppress the correlation side-lobe level and strike a good balance between the PSL and ISL metrics. Compared with the best PSL optimization algorithm based on primal dual method, the
p
-MM obtains about the same PSL and lower ISL values. Compared with multi-CAN, MM-Corr, ISL-New,and the other state-of-the-art ISL minimization algorithms, the
p
-MM obtains slightly higher ISL and much lower PSL. Briefly, the
p
-MM is able to obtain almost the best PSL and relatively low ISL values.
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关键词
mimo radar,mimo radar using,side-lobe,level-phase
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