Joint Waveform Optimization and Antenna Position Selection for MIMO Radar Beam Scanning

被引：0
|
作者：
Fan W. [1 ]
Yu B. [1 ,2 ]
Chen J. [1 ]
Zhang H. [1 ,3 ]
Li C. [1 ]
机构：
[1] 54th Research Institute of CETC, Shijiazhuang
[2] State Key Laboratory of Satellite Navigation System and Equipment Technology, Shijiazhuang
[3] School of Electronics and Information, Northwestern Polytechnical University, Xi’an
来源：
Journal of Radars | 2022年 / 11卷 / 04期
关键词：
Alternating Direction Method of Multipliers (ADMM); Antenna selection; Lawson algorithm; Majorization-Minimization (MM); MIMO radar transmit beampattern; Peak-to-Average Power Ratio (PAPR); Sparse antenna array;
D O I：
10.12000/JR22135
中图分类号：
学科分类号：
摘要：
In this study, under the Peak-to-Average Power Ratio (PAPR), energy, and binary (for antenna position selection) constraints, we proposed an antenna position selection and beam scanning method for colocated Multiple-Input Multiple-Output (MIMO) radar system using the min-max beampattern amplitude matching criterion. In our design, antenna positions and a set of probing waveforms were jointly determined to match a set of beampattern masks, and hence realize the beam scan. The resultant problem was large-scale, nonconvex, nonsmooth, and typical nondeterministic hard, because of the PAPR and nonconvex binary constraints, and the max and modulus operations in the objective function. To address these issues, we first transformed the min-max problem into the Iterative weighted Least Squares (ILS) problem using the Lawson algorithm, replaced the nonsmooth nonconvex objective function with the convex majorization function, and finally applied the alternating direction method of multipliers to solve the majorized ILS problem. Finally, several numerical examples were given to show the effectiveness of the proposed algorithms. © 2022 Institute of Electronics Chinese Academy of Sciences. All rights reserved.
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页码：530 / 542
页数：12
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