Volume 44 Issue 3
Jun.  2015
Article Contents

LI Chao-hai, LI Ming, ZHANG Wei. An Approach to Achieving Narrower Mainlobe for MIMO Radar[J]. Journal of University of Electronic Science and Technology of China, 2015, 44(3): 321-325. doi: 10.3969/j.issn.1001-0548.2015.03.001
Citation: LI Chao-hai, LI Ming, ZHANG Wei. An Approach to Achieving Narrower Mainlobe for MIMO Radar[J]. Journal of University of Electronic Science and Technology of China, 2015, 44(3): 321-325. doi: 10.3969/j.issn.1001-0548.2015.03.001

An Approach to Achieving Narrower Mainlobe for MIMO Radar

doi: 10.3969/j.issn.1001-0548.2015.03.001
  • Publish Date: 2015-06-15
  • [1] BROOKNER E, RAYTHEON C. MIMO radar demystified and where it makes sense to use[C]//Phased Array Systems&Technology. Waltham, USA: IEEE, 2013.
    [2] MOO P W, ZHEN Ding. Tracking performance of MIMO radar for accelerating targets[J]. Signal Processing, 2013, 61(21): 5205-5216.
    [3] RANKIN G A, TIRKEL A Z, BUI L Q, et al. Radar imaging: Conventional and MIMO[C]//Communications and Electronic(ICCE). Hue, USA: IEEE, 2012.
    [4] HE Qian, LEHMANN N H, BLUM R S, et al. MIMO radar moving target detection in homogeneous clutter[J]. IEEE Transactions on Aerospace and Electronic Systems, 2010, 46(3): 1290-1301.
    [5] 牛朝阳, 张剑云. MIMO雷达正交波形集设计—线性调频-位编码混合波形[J]. 计算机工程与应用, 2012, 48(13): 133-137. NIU Zhao-yang, ZHANG Jian-yun. Orthogonal waveform set of hybird LFM and phase code for MIMO radar[J]. Computer Engineering and Application, 2012, 48(13): 133-137.
    [6] RABIDEAU D J. Non-adaptive multiple-input, multiple- output radar techniques for reducing clutter[J]. IET Radar Sonar Navig, 2009, 3(4): 304-313.
    [7] 杜晓林, 王旭, 苏涛, 等. MIMO雷达正交相位编码信号的代数设计方法[J]. 西安电子科技大学学报(自然科学版), 2014, 41(2): 64-70. DU Xiao-lin, WANG Xu, SU Tao, et al. Orthogonal phase coding signal design for MIMO radar via an algebraic method[J]. Journal of Xidian University(Natural Science Edition), 2014, 41(2): 64-70.
    [8] CHEN Chun-yang, VAIDYANATHAN P P. Beamforming issues in modern MIMO radars with doppler[C]//The 40th Asilomar Coference on Signals, Systems and Computers. Pacific Grove, CA, USA: IEEE, 2006.
    [9] FORSYTHE K W, BLISS D W. MIMO radar signal processing[M]. New York, USA: Wiley, 2009.
    [10] DENG Hai, BRAHAM H. A virtual antenna beamforming (VAB) approach for radar systems by using orthogonal coding waveforms[J]. IEEE Transactions on Antennas and Propagation, 2009, 57(2): 425-435.
    [11] WANG Guo-hua, LU Yi-long. Clutter rank of mimo radar with a speical class of waveforms[C]//Waveform Diversity and Design Conference. Kissimmee, FL, USA: IEEE, 2009.
    [12] MONDAL B, HEATH R W. Performance analysis of quantized beamforming MIMO systems[J]. IEEE Trans Signal Process, 2006, 54(12): 4753-4766.
    [13] CHEN Chun-yang, VAIDYANATHAN P P. MIMO radar space-time adaptive processing using prolate spheroidal wave functions[J]. IEEE Transactions on Signal Processing, 2008, 56(2): 623-635.
    [14] 周剑雄, 石志广, 吴京. 离散时间信号频域分析中的概念辨析[J]. 电气电子教学学报, 2014, 36(1): 49-51. ZHOU Jian-xiong, SHI Zhi-guang, WU Jing. Conceptual discrimination in frequency domain analysis of discrete time signals[J]. Journal of EEE, 2014, 36(1): 49-51.
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An Approach to Achieving Narrower Mainlobe for MIMO Radar

doi: 10.3969/j.issn.1001-0548.2015.03.001
LI Chao-hai, LI Ming, ZHANG Wei. An Approach to Achieving Narrower Mainlobe for MIMO Radar[J]. Journal of University of Electronic Science and Technology of China, 2015, 44(3): 321-325. doi: 10.3969/j.issn.1001-0548.2015.03.001
Citation: LI Chao-hai, LI Ming, ZHANG Wei. An Approach to Achieving Narrower Mainlobe for MIMO Radar[J]. Journal of University of Electronic Science and Technology of China, 2015, 44(3): 321-325. doi: 10.3969/j.issn.1001-0548.2015.03.001
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