MIMO Radar Waveform Design With PAPR and Similarity Constraints

• Published in: IEEE transactions on signal processing Vol. 66; no. 4; pp. 968 - 981
• Main Authors: Cheng, Ziyang, He, Zishu, Liao, Bin, Fang, Min
• Format: Journal Article
• Language: English
• Published: IEEE 15.02.2018
• Subjects: ASM; BSUM-M; Interference; MIMO radar; Optimization; PAPR constraint; Peak to average power ratio; primal-dual; receive filter; Signal processing algorithms; Signal to noise ratio; similarity constraint; transmit waveform
• ISSN: 1053-587X; 1941-0476
• DOI: 10.1109/TSP.2017.2780052

The paper investigates the joint design of transmit waveform and receive filter for multiple-input multiple-output radar in the presence of signal-dependent interference, subject to a peak-to-average-power ratio constraint as well as a waveform similarity constraint. Owing to this kind of signal dependence and constraints, the formulated optimization problem of the output signal-to-interference-plus-noise ratio (SINR) maximization is NP-hard. To this end, an auxiliary variable is first introduced to modify the original problem, and then a primal-dual algorithm based on the block successive upper-bound minimization method of multipliers (BSUM-M) is developed to deal with the resulting problem. Moreover, an active set method is exploited to solve the quadratic programming problem involved in each update procedure of the proposed BSUM-M algorithm. Finally, numerical simulations are performed to demonstrate the superiority of the proposed algorithm over state-of-the-art methods in terms of the output SINR, beampattern, computational complexity, pulse compression, and ambiguity properties.