QPSK waveform for MIMO radar with spectrum sharing constraints

被引:4
|
作者
Khawar, Awais [1 ]
Abdelhadi, Ahmed [1 ]
Clancy, T. Charles [1 ]
机构
[1] Virginia Polytech Inst & State Univ, Arlington, VA 22203 USA
关键词
MIMO radar; Constant envelope waveform; QPSK; Spectrum sharing; TARGET DETECTION; SIGNAL;
D O I
10.1016/j.phycom.2015.08.001
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
Multiple-input multiple-output (MIMO) radar is a relatively new concept in the field of radar signal processing. Many novel MIMO radar waveforms have been developed by considering various performance metrics and constraints. In this paper, we show that finite alphabet constant-envelope (FACE) quadrature-pulse shift keying (QPSK) waveforms can be designed to realize a given covariance matrix by transforming a constrained nonlinear optimization problem into an unconstrained nonlinear optimization problem. In addition, we design QPSK waveforms in a way that they do not cause interference to cellular system, by steering nulls towards a selected base station (BS). The BS is selected according to our algorithm which guarantees minimum degradation in radar performance due to null space projection (NSP) of radar waveforms. We design QPSK waveforms with spectrum sharing constraints for stationary and moving radar platform. We show that the waveform designed for stationary MIMO radar matches the desired beampattern closely, when the number of BS antennas N-BS is considerably less than the number of radar antennas M, due to quasi-static interference channel. However, for moving radar the difference between designed and desired waveforms is larger than stationary radar, due to rapidly changing wireless channel. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:37 / 57
页数:21
相关论文
共 50 条
  • [31] SQR: Successive QCQP Refinement for MIMO Radar Waveform Design Under Practical Constraints
    Aldayel, Omar
    Monga, Vishal
    Rangaswamy, Muralidhar
    2015 49TH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS, 2015, : 85 - 89
  • [32] Joint linear array structure and waveform design for MIMO radar under practical constraints
    Chu, Chunhua
    Chen, Yijun
    Zhang, Qun
    Luo, Ying
    ELECTRONIC RESEARCH ARCHIVE, 2022, 30 (09): : 3249 - 3265
  • [33] SPECTRALLY COMPATIBLE WAVEFORM DESIGN FOR MIMO RADAR TRANSMIT BEAMPATTERN WITH PAR AND SIMILARITY CONSTRAINTS
    Cheng, Ziyang
    He, Zishu
    Fang, Min
    Li, Jun
    Xie, Julan
    2018 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2018, : 3286 - 3290
  • [34] MIMO Radar Waveform Design: An Overview
    Li Y.
    Journal of Beijing Institute of Technology (English Edition), 2021, 30 (01): : 44 - 59
  • [35] Wideband MIMO Radar Waveform Design
    Yu, Xianxiang
    Cui, Guolong
    Yang, Jing
    Kong, Lingjiang
    Li, Jian
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2019, 67 (13) : 3487 - 3501
  • [36] On the Role of Waveform Diversity in MIMO Radar
    Friedlander, B.
    2011 CONFERENCE RECORD OF THE FORTY-FIFTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS (ASILOMAR), 2011, : 1501 - 1505
  • [37] On Orthogonal Waveform Design for MIMO Radar
    Cai, Long
    Ma, Xiaochuan
    Yan, Shefeng
    Xu, Qi
    ADVANCED MATERIALS SCIENCE AND TECHNOLOGY, PTS 1-2, 2011, 181-182 : 422 - 428
  • [38] On the role of waveform diversity in MIMO radar
    Friedlander, B.
    DIGITAL SIGNAL PROCESSING, 2013, 23 (03) : 712 - 721
  • [39] MIMO Radar Waveform Design: An Overview
    Yongzhe Li
    Journal of Beijing Institute of Technology, 2021, 30 (01) : 44 - 59
  • [40] Piecewise LFM Waveform for MIMO Radar
    Gao, Caicai
    Teh, Kah Chan
    Liu, Aifei
    Sun, Hongbo
    IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2016, 52 (02) : 590 - 602