期刊文献+

基于波形优化和天线位置选择的MIMO雷达波束扫描算法研究 被引量:3

Joint Waveform Optimization and Antenna Position Selection for MIMO Radar Beam Scanning
下载PDF
导出
摘要 为实现集中式多输入多输出(MIMO)雷达波束扫描,本文在峰值平均功率比(PAPR)、能量以及布尔(天线位置选择)约束下,基于min-max波束图匹配准则,首次提出MIMO雷达天线位置和多组探测波形(一组波形对应一个独立的波束图)的联合优方法。由于非凸PAPR约束、布尔约束以及min-max目标函数的非凸非光滑性导致了优化问题成为典型的大规模NP-难问题。为求解该NP-难优化问题,该文首先利用Lawson算法将min-max问题转化为迭代加权最小二乘(ILS)问题,然后根据上界函数最小化(MM)准则简化ILS优化问题,最后用交替方向乘子法(ADMM)求解简化后的上界优化问题。数值仿真结果检验了所提算法的有效性。 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.
作者 范文 蔚保国 陈镜 张航 李淳泽 FAN Wen;YU Baoguo;CHEN Jing;ZHANG Hang;LI Chunze(The 54th Research Institute of CETC,Shijiazhuang 050081,China;State Key Laboratory of Satellite Navigation System and Equipment Technology,Shijiazhuang 050081,China;School of Electronics and Information,Northwestern Polytechnical University,Xi’an 710072,China)
出处 《雷达学报(中英文)》 EI CSCD 北大核心 2022年第4期530-542,共13页 Journal of Radars
基金 国家重点研发计划(2021YFB3900801)。
关键词 MIMO雷达发射波束图 峰值平均功率比(PAPR) 稀疏阵列天线 天线选择 Lawson算法 上界函数最小化(MM) 交替方向乘子法(ADMM) MIMO radar transmit beampattern Peak-to-Average Power Ratio(PAPR) Sparse antenna array Antenna selection Lawson algorithm Majorization-Minimization(MM) Alternating Direction Method of Multipliers(ADMM)
  • 相关文献

参考文献5

二级参考文献53

  • 1尹建凤,李道京,吴一戎.基于星载毫米波雷达的空间目标探测与成像[J].宇航学报,2007,28(6):1683-1688. 被引量:9
  • 2保铮,张庆文.一种新型的米波雷达──综合脉冲与孔径雷达[J].现代雷达,1995,17(1):1-13. 被引量:57
  • 3吕洁,吴季,孙波.利用天基雷达观测低地轨道上的危险空间碎片[J].遥感技术与应用,2006,21(2):103-108. 被引量:9
  • 4E Fishler, et al. Performance of MIMO radar systems: Advantages of angular diversity [ Z ]. Conference Record of the 38th Asilomar Conference on Signals, Systems and Computers. 2004, ( 1 ) :305 -309.
  • 5E Fishier, et al. MIMO radar:An idea whose time has come[ A ]. Proceeding of the IEEE Radar Conference [ C ]. Philadelphia, PA,2004.71 - 78.
  • 6W M Siebert. A radar detection philosophy [ J ]. IEEE Trans on Information Theory, 1956, ( 2 ) :204 - 221.
  • 7A Luce, et al. Experimental results on SIAR digital beamforming radar[ C ]. 1992 IEEE International Radar Conference, London, 1992. 505 - 510.
  • 8D J Rabideau, P Parker, D Rabideau. Ubiquitous MIMO digital array radar[ Z ]. Conference Record of the 37th Asilomar Conference on Signals, Systems and Computers.2003. 1057 - 1064.
  • 9A S Fletcher, F C Robey. Performance bounds for adaptive coherence of sparse array radar [ A ]. Proceeding of the 11th Conference on Adaptive Sensors Array Processing[C].2003.
  • 10F C Robey, et al. MIMO radar theory and experimental resuits [ Z ]. Conference Record of the 38th Asilomar Conference on Signals, Systems and Computers. 2004, ( 1 ) :300 - 304.

共引文献153

同被引文献19

引证文献3

二级引证文献3

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部