Generalized Multiplexed Waveform Design Framework for Cost-Optimized MIMO Radar

被引:1
|
作者
Hammes, Christian [1 ]
Shankar, Bhavani M. R. [1 ]
Ottersten, Bjorn [1 ]
机构
[1] Univ Luxembourg, Interdisciplinary Ctr Secur Reliabil & Trust, L-1855 Luxembourg, Luxembourg
基金
欧洲研究理事会;
关键词
Radio frequency; Modulation; MIMO communication; Multiplexing; Optimization; Complexity theory; Array signal processing; Angle-Doppler coupling suppression; block-circulant decomposition; MIMO radar; multiplexing; non-iterative algorithm; transmit beamforming; virtual MIMO; convex optimization; finite alphabets; multiple phase shift keying; BEAMPATTERN DESIGN; CONSTANT MODULUS; SIGNAL;
D O I
10.1109/TSP.2020.3040859
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
Cost-optimization through the minimization of hardware and processing costs with minimal loss in performance is an interesting design paradigm in evolving and emerging Multiple-Input-Multiple-Output (MIMO) radar systems. This optimization is a challenging task due to the increasing Radio Frequency (RF) hardware complexity as well as the signal design algorithm complexity in applications requiring high angular resolution. Towards addressing these, the paper proposes a low-complexity signal design framework, which incorporates a generalized time multiplex scheme for reducing the RF hardware complexity with a subsequent discrete phase modulation. The scheme further aims at achieving simultaneous transmit beamforming and maximum virtual MIMO aperture to enable better target detection and discrimination performance. Furthermore, the paper proposes a low-complexity signal design scheme for beampattern matching in the aforementioned setting. The conducted performance evaluation indicates that the listed design objectives are met.
引用
收藏
页码:88 / 102
页数:15
相关论文
共 50 条
  • [21] MIMO Radar Waveform Design for Transmit Beampattern Synthesis
    Wang, Shuangling
    Huang, Songhua
    He, Zishu
    2016 24TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), 2016, : 2065 - 2069
  • [22] On data-adaptive waveform design for MIMO radar
    Friedlander, Benjamin
    CONFERENCE RECORD OF THE FORTY-FIRST ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, VOLS 1-5, 2007, : 187 - 191
  • [23] Two Waveform Design Criteria for Colocated MIMO Radar
    Liu, Hongwei
    Zhou, Shenghua
    Zang, Huikai
    Cao, Yunhe
    2014 INTERNATIONAL RADAR CONFERENCE (RADAR), 2014,
  • [24] MIMO Radar Waveform Design to support Spectrum Sharing
    Amuru, SaiDhiraj
    Buehrer, R. Michael
    Tandon, Ravi
    Sodagari, Shabnam
    2013 IEEE MILITARY COMMUNICATIONS CONFERENCE (MILCOM 2013), 2013, : 1535 - 1540
  • [25] Target models and waveform design for detection in MIMO radar
    Jun Tang
    Jun Luo
    Bo Tang
    JinSong Du
    Science China Information Sciences, 2014, 57 : 1 - 12
  • [26] Waveform design for target classification in MIMO radar systems
    Amiri, R.
    Olamaei, S. A.
    Alaie, M. B.
    DIGITAL SIGNAL PROCESSING, 2022, 131
  • [27] Waveform design for TDM-MIMO radar systems
    Alaie, M. Bagher
    Olamaei, Seyed Ahmad
    SIGNAL PROCESSING, 2020, 167
  • [28] Target models and waveform design for detection in MIMO radar
    Tang Jun
    Luo Jun
    Tang Bo
    Du JinSong
    SCIENCE CHINA-INFORMATION SCIENCES, 2014, 57 (01) : 1 - 12
  • [29] A new method for the design of transmit waveform of MIMO radar
    Huang Z.
    Shan L.
    Chen M.
    Zhang J.
    Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology, 2016, 38 (05): : 1026 - 1033
  • [30] Adaptive Waveform Design for Imaging MIMO Radar Systems
    Riche, Vishal
    Klare, Jens
    Cerutti-Maori, Delphine
    2014 INTERNATIONAL RADAR CONFERENCE (RADAR), 2014,