Advanced Search
Volume 38 Issue 12
Jan.  2017
Turn off MathJax
Article Contents
GUAN Jian, LI Xiuyou, HUANG Yong, XUE Yonghua. Knowledge-aided MIMO Radar Waveform Design Method[J]. Journal of Electronics & Information Technology, 2016, 38(12): 3063-3069. doi: 10.11999/JEIT160008
Citation: GUAN Jian, LI Xiuyou, HUANG Yong, XUE Yonghua. Knowledge-aided MIMO Radar Waveform Design Method[J]. Journal of Electronics & Information Technology, 2016, 38(12): 3063-3069. doi: 10.11999/JEIT160008

Knowledge-aided MIMO Radar Waveform Design Method

doi: 10.11999/JEIT160008
Funds:

The National Natural Science Foundation of China (61471382, 61401495, 61201445, 61179017, 61501487), Natural Science Foundation of Shandong Province (2015ZRA 06052), Special Funds of Taishan Scholars Construction Engineering

  • Received Date: 2016-01-04
  • Rev Recd Date: 2016-05-30
  • Publish Date: 2016-12-19
  • In order to solve the problem of performance degradation when radar system is influenced by clutter from mainlobe and sidelobe, MIMO radar waveform design algorithm based on knowledge of range-spread target and clutter is investigated. Firstly, an optimization cost function is established, which includes mainlobe gain, sidelobe clutter suppression capability and Signal to Clutter plus Noise Ratio (SCNR) improvement. Secondly, to tackle the optimization problem, a relaxation is made to decouple spatial and temporal domain of the waveform matrix, beamforming and waveform design can be solved independently. Thirdly, L-BFGS algorithm is used to design the unimodular waveform matrix, beampattern with lower sidelobe and deep null is got. Based on maximization of SCNR, transmitted waveform and receiving filter are designed by iterative algorithm. Finally, the effectiveness of the proposed algorithm is verified by electromagnetic simulation of range-spread target.
  • loading
  • VESPE M, JONES G, and BAKER C J. Lessons for radar: waveform diversity in echolocating mammals[J]. IEEE Signal Processing Magazine, 2009, 26(1): 65-75.
    YANG Y and BLUM R S. Minimax robust MIMO radar waveform design[J]. IEEE Journal of selected Topics in Signal Processing, 2007, 1(1): 147-155.
    COCHRAN D, SUVOROVA S, HOWARD S D, et al.. Waveform libraries: measures of effectiveness for radar scheduling[J]. IEEE Signal Processing Magazine, 2009, 26(1): 12-21.
    JIU Bo, LIU Hongwei, ZHANG Lei, et al. Wideband cognitive radar waveform optimization for joint target radar signature estimation and target detection[J]. IEEE Transactions on Aerospace and Electronic Systems, 2015, 51(2): 1530-1546.
    YAN Junkun, JIU Bo, LIU Hongwei, et al. Prior knowledge- based simultaneous multibeam power allocation algorithm for cognitive multiple targets tracking in clutter[J]. IEEE Transactions on Signal Processing, 2015, 63(2): 512-527.
    YAN Junkun, LIU Hongwei, JIU Bo, et al. Power allocation algorithm for target tracking in unmodulated continuous wave radar network[J]. IEEE Sensors Journal, 2015, 15(2): 1098-1108.
    TURLAPATY A and JIN Yuanwei. Bayesian sequential parameter estimation by cognitive radar with multiantenna arrays[J]. IEEE Transactions on Signal Processing, 2015, 63(4): 974-987.
    AUBRY A, DE MAIO A, FARINA A, et al. Knowledge- aided (potentially cognitive) transmit signal and receive filter design in signal-dependent clutter[J]. IEEE Transactions on Aerospace and Electronic Systems, 2013, 49(1): 93-116.
    AUBRY A, DE MAIO A, JIANG Bo, et al. Ambiguity function shaping for cognitive radar via complex quartic optimization[J]. IEEE Transactions on Aerospace and Electronic Systems, 2013, 61(22): 5603-5619.
    CHEN Chunyang and VAIDYANATHAN P P. MIMO radar waveform optimization with prior information of the extended target and clutter[J]. IEEE Transactions on Signal Processing, 2009, 57(9): 3533-3544.
    GUERCI J R. Cognitive Radar: The Knowledge-Aided Fully Adaptive Approach[M]. Norwood, MA, USA, Artech House, 2010, Chapter 2.
    HULEIHEL W, TABRIKIAN J, and SHAVIT R. Optimal adaptive waveform design for cognitive MIMO radar[J]. IEEE Transactions on Signal Processing, 2013, 61(20): 5075-5089.
    JIU Bo, LIU Hongwei, WANG Xu, et al. Knowledge-based spatial-temporal hierarchical MIMO radar waveform design method for target detection in heterogeneous clutter zone[J]. IEEE Transactions on Signal Processing, 2015, 63(3): 543-554.
    KISIALIOU M, LUO X D, and LUO Z Q. Efficient implementation of quasi-maximum-likelihood detection based on semidefinite relaxation[J]. IEEE Transactions on Signal Processing, 2009, 57(12): 4811-4822.
    WANG Yongchao, WANG Xu, LIU Hongwei, et al. On the design of constant modulus probing signals for MIMO radar[J]. IEEE Transactions on Signal Processing, 2012, 60(8): 4432-4438.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (1437) PDF downloads(480) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return