On the Design of Constant Modulus Probing Signals for MIMO Radar

被引:139
作者
Wang, Yong-Chao
Wang, Xu [1 ]
Liu, Hongwei [1 ]
Luo, Zhi-Quan [2 ]
机构
[1] Xidian Univ, Natl Lab Radar Signal Proc, Xian 710071, Peoples R China
[2] Univ Minnesota, Dept Elect Comp Sci Engn, Minneapolis, MN 55455 USA
基金
美国国家科学基金会;
关键词
Beam pattern; constant modulus probing signal; multiple-input multiple-output (MIMO) radar; spatial auto/cross-correlation; WAVE-FORM DESIGN; INFORMATION; OPTIMIZATION;
D O I
10.1109/TSP.2012.2197615
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Probing signal waveforms play a central role in the signal processing performance of a multiple-input multiple-output (MIMO) radar. In practice, for a given desired beam pattern, we need to design a probing signal waveform whose beam pattern closely matches the desired one and whose autocorrelation and cross-correlation sidelobes are kept low. The latter properties are important to mitigate undesirable interference caused by multiple targets or scatterers. In this correspondence, we present an efficient optimization method to design a constant modulus probing signal which can synthesize a desired beam pattern while maximally suppressing both the autocorrelation and cross-correlation sidelobes at/between given spacial angles. We formulate this problem as an unconstrained minimization of a fourth order trigonometric polynomial and propose an efficient quasi-Newton iterative algorithm to solve it. Besides, we provide an analysis of the local minima of the fourth-order trigonometric polynomial and prove that any local minima is a 1/2-approximation of its global optimal solution. Numerical examples show that the proposed approach compares favorably with the existing approach.
引用
收藏
页码:4432 / 4438
页数:8
相关论文
共 24 条
  • [1] Unconstrained Synthesis of Covariance Matrix for MIMO Radar Transmit Beampattern
    Ahmed, Sajid
    Thompson, John S.
    Petillot, Yvan R.
    Mulgrew, Bernard
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2011, 59 (08) : 3837 - 3849
  • [2] MIMO Radar Ambiguity Functions
    Antonio, Geoffrey San
    Fuhrmann, Daniel R.
    Robey, Frank C.
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2007, 1 (01) : 167 - 177
  • [3] Bliss DW, 2003, CONF REC ASILOMAR C, P54
  • [4] MIMO Radar Waveform Optimization With Prior Information of the Extended Target and Clutter
    Chen, Chun-Yang
    Vaidyanathan, P. P.
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2009, 57 (09) : 3533 - 3544
  • [5] MIMO Radar Ambiguity Properties and Optimization Using Frequency-Hopping Waveforms
    Chen, Chun-Yang
    Vaidyanathan, P. P.
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2008, 56 (12) : 5926 - 5936
  • [6] MIMO radar space-time adaptive processing using prolate spheroidal wave functions
    Chun-Yang Chen
    Vaidyanathan, P. P.
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2008, 56 (02) : 623 - 635
  • [7] Spatial diversity in radars-models and detection performance
    Fishler, E
    Haimovich, A
    Blum, RS
    Cimini, LJ
    Chizhik, D
    Valenzuela, RA
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2006, 54 (03) : 823 - 838
  • [8] Fishler E, 2004, CONF REC ASILOMAR C, P305
  • [9] MIMO radar: An idea whose time has come
    Fishler, E
    Haimovich, A
    Blum, R
    Chizhik, D
    Cimini, L
    Valenzuela, R
    [J]. PROCEEDINGS OF THE IEEE 2004 RADAR CONFERENCE, 2004, : 71 - 78
  • [10] Forsythe KW, 2004, CONF REC ASILOMAR C, P310