Waveform and Filter Joint Design Method for Pulse Compression Sidelobe Reduction

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING(2022)

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摘要
A joint waveform and filter design method is developed for suppressing radar pulse compression sidelobe level in this article. The problem is formulated as the minimization of the integrated sidelobe level (ISL) under the constraint of waveform constant modular and filter energy. To control the loss-in-processing gain (LPG), an additional function is introduced to constrain the peak level based on penalty function method. The joint design algorithm is then derived based on the alternating minimization and majorization minimization (MM) schemes. The computation complexity is analyzed and the convergence analysis verifies that the algorithm can converge to a critical point. Specifically, the proposed method is extended to the waveform and filter design for suppressing the peak sidelobe level (PSL). Numerical simulations are carried out to analyze the key parameters, which demonstrate the feasibility of the proposed method. Simulation results show that the ISL and PSL can be significantly reduced with small LPG. Moreover, the proposed method exhibits faster running speed than the existing one and it thus can be applied to longer sequence designs.
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关键词
Radar,Minimization,Measurement,Radar imaging,Convergence,Linear programming,Design methodology,Alternating minimization,majorization minimization (MM),mismatched filter,pulse compression,sidelobe level reduction,waveform design
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