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Polyphase coded signal design for MIMO radar using MO-MicPSO 被引量:9

Polyphase coded signal design for MIMO radar using MO-MicPSO
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摘要 A novel modified optimization technique known as the multi-objective micro particle swarm optimization(MO-MicPSO) is proposed for polyphase coded signal design.The proposed MO-MicPSO requires only a small population size compared with the standard particle swarm optimization that uses a larger population size.This new method is guided by an elite archive to finish the multi-objective optimization.The orthogonal polyphase coded signal(OPCS) can fundamentally improve the multiple input multiple output(MIMO) radar system performance,with which the radar system has high resolution and abundant signal channels.Simulation results on the polyphase coded signal design show that the MO-MicPSO can perform quite well for this high-dimensional multi-objective optimized problem.Compared with particle swarm optimization or genetic algorithm,the proposed MO-MicPSO has a better optimized efficiency and less time consumption. A novel modified optimization technique known as the multi-objective micro particle swarm optimization(MO-MicPSO) is proposed for polyphase coded signal design.The proposed MO-MicPSO requires only a small population size compared with the standard particle swarm optimization that uses a larger population size.This new method is guided by an elite archive to finish the multi-objective optimization.The orthogonal polyphase coded signal(OPCS) can fundamentally improve the multiple input multiple output(MIMO) radar system performance,with which the radar system has high resolution and abundant signal channels.Simulation results on the polyphase coded signal design show that the MO-MicPSO can perform quite well for this high-dimensional multi-objective optimized problem.Compared with particle swarm optimization or genetic algorithm,the proposed MO-MicPSO has a better optimized efficiency and less time consumption.
机构地区 issile Institute
出处 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2011年第3期381-386,共6页 系统工程与电子技术(英文版)
基金 supported by the National Natural Science Foundation of China (60601016)
关键词 multi-objective micro particle swarm optimization(MO-MicPSO) phase-coded signal multiple input multiple output(MIMO) radar ambiguity function. multi-objective micro particle swarm optimization(MO-MicPSO) phase-coded signal multiple input multiple output(MIMO) radar ambiguity function.
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  • 1杨丽娜,丁君,郭陈江,许家栋.基于遗传算法的阵列天线方向图综合技术[J].微波学报,2005,21(2):38-41. 被引量:26
  • 2何子述,韩春林,刘波.MIMO雷达概念及其技术特点分析[J].电子学报,2005,33(B12):2441-2445. 被引量:97
  • 3陈华平,谷峰,古春生,卢冰原.两级排序遗传算法在柔性工作车间调度中的应用[J].系统仿真学报,2006,18(6):1717-1720. 被引量:12
  • 4陈华平,谷峰,卢冰原,古春生.自适应多目标遗传算法在柔性工作车间调度中的应用[J].系统仿真学报,2006,18(8):2271-2274. 被引量:25
  • 5Bliss D W, Forsythe K W. Multiple-input multiple-output (MI- MO) radar and imaging: degrees of freedome and resolution [C]//Proceedings of 37^th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, 2003.
  • 6Fishier E, Haimovich A, Blum R,et al. MIMO radar: an idea whose time has come[C]//Proc. 2004 IEEE Radar Conf. , Philadelphia. PA,2004.
  • 7Forsythe K W, Bliss D W, Fawcett G S. Multiple-input multiple-output (MIMO) radar:performance issues [C] // Proceed ings of IEEE Radar Conference, 2004.
  • 8Fuhrmann Daniel R, Geoffrey San Antonio. Transmit beamforming for MIMO radar systems using partial signal correlation [C]//Proceedings of IEEE Radar Conference, 2004.
  • 9Dhanesh G Kurup, Mohamed Himdi, Anders Rydberg. Synthesis of uniform amplitude unequally spaced antenna arrays using the differential evolution algorithm[J]. IEEE Trans. on Antennas and Propagation,2003:51(9) :2210 - 2217.
  • 10Haupt Randy L. Thinned arrays using genetic algorithms[J]. IEEE Trans. on Antennas and Propagation,1994:42(7):993 - 999.

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  • 1王杰贵.发射DBF预置零点波束控制技术[J].现代雷达,2008,30(1):74-76. 被引量:3
  • 2曹运合,李强,王胜华,张守宏.宽带相控阵雷达发射波束零点形成方法[J].西安电子科技大学学报,2006,33(3):395-399. 被引量:8
  • 3王毅鹰,苏兮.基于m序列信号的多普勒补偿方法[J].现代雷达,2007,29(2):48-51. 被引量:10
  • 4Li J, Stoica P, Xu L, et al. On parameter identifiability of MIMO radar [J]. IEEE Signal Processing Letters, 2007, 14 (12):968- 971.
  • 5Xu L, Li J, Stoica P. Target detection and parameter estimation for MIMO radar systems[J]. IEEE Trans. on Aerospace and ELectronic Systems, 2008,44 (3) : 927 - 939.
  • 6Yang Y, Blum R S. Minimax robust MIMO radar waveform design[J]. IEEEJournal of Selected Topics in Signal Processing,2007,1(1) :147 - 155.
  • 7Yang Y, Blum R S. MIMO radar waveform design based on mutual information and minimum mean-square error estimation[J]. IEEE Trans. on Aerospace and Electronic Systems" ,2007,43(1):330 - 343.
  • 8Fishier E, Haimovich A, Blum R S, et al. Spatial diversity in radars-models and detection performance[J]. IEEE Trans. on Signal Processing ,2006,54(3) :823 - 838.
  • 9Lehmann N H, Fishler E, Haimovich A M, et al. Evaluation of transmit diversity in MIMO-radar direction finding[J]. IEEE Trans. on Signal Processing, 2007,55(5) : 2215 - 2225.
  • 10Bekkerrnan I, Tabrikian J. Target detection and localization using MIMO radars and sonars[J]. IEEE Trans. on Signal Processing, 2006,54 (10): 3873 - 3883.

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