期刊文献+

基于遗传算法的MIMO雷达离散频率编码波形设计 被引量:7

Design of Discrete Frequency-coding Waveforms for MIMO radar via Genetic Algorithm
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摘要 针对MIMO雷达体制的离散频率编码波形设计问题,给出了一种采用遗传算法对频率编码序列的选取进行优化组合的方法.首先对波形设计的代价函数进行了改进,然后针对离散频率编码的特点,对遗传算法的选择、交叉、变异算子进行了设计,最后对设计结果进行了分析.结果表明,该方法要优于模拟退火算法。 Aimed at the designing issue of discrete frequency-coding waveforms in a MIMO radar system, a method to optimally combine the selection of frequency-coding sequence using the genetic algorithm was presented. First, the cost function of waveform design was improved, and the selection, crossover and mutation operator of genetic algorithm was designed in terms of the characteristics of discrete frequency-coding. Finally, the design results were analyzed, which shows that the proposed method outperforms simulated annealing algorithm.
出处 《空军雷达学院学报》 2007年第2期105-107,共3页 Journal of Air Force Radar Academy
关键词 MIMO雷达 离散频率编码波形 遗传算法 代价函数 MIMO radar discrete frequency-coding waveform genetic algorithm (GA) cost function
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参考文献5

  • 1[1]FISHLER E,HAIMOVICH A,BLUM R,et al.MIMO Radar:An idea whose time has come[C]//IEEE Int.Conf.Radar.Philadelphia,PA,2004:71-78.
  • 2[2]FISHLER E,HAIMOVICH A,BLUM R,et al.Spatial Diversity in Radars-Models and Detection Performance[J].IEEE Trans.on Signal Processing,2006,54(3):823-838.
  • 3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
  • 4[4]DENG Hai.Discrete Frequency-Coding Waveform Design for Netted Radar Systems[J].IEEE Signal Processing Letters,2004,11(2):179-182.
  • 5高经纬,张煦,李峰,赵晖.求解TSP问题的遗传算法实现[J].计算机时代,2004(2):19-21. 被引量:57

二级参考文献24

  • 1保铮,张庆文.一种新型的米波雷达──综合脉冲与孔径雷达[J].现代雷达,1995,17(1):1-13. 被引量:57
  • 2E Fishler, et al. Performance of MIMO radar systems: Advantages of angular diversity [ Z ]. Conference Record of the 38th Asilomar Conference on Signals, Systems and Computers. 2004, ( 1 ) :305 -309.
  • 3E Fishier, et al. MIMO radar:An idea whose time has come[ A ]. Proceeding of the IEEE Radar Conference [ C ]. Philadelphia, PA,2004.71 - 78.
  • 4W M Siebert. A radar detection philosophy [ J ]. IEEE Trans on Information Theory, 1956, ( 2 ) :204 - 221.
  • 5A Luce, et al. Experimental results on SIAR digital beamforming radar[ C ]. 1992 IEEE International Radar Conference, London, 1992. 505 - 510.
  • 6D J Rabideau, P Parker, D Rabideau. Ubiquitous MIMO digital array radar[ Z ]. Conference Record of the 37th Asilomar Conference on Signals, Systems and Computers.2003. 1057 - 1064.
  • 7A S Fletcher, F C Robey. Performance bounds for adaptive coherence of sparse array radar [ A ]. Proceeding of the 11th Conference on Adaptive Sensors Array Processing[C].2003.
  • 8F C Robey, et al. MIMO radar theory and experimental resuits [ Z ]. Conference Record of the 38th Asilomar Conference on Signals, Systems and Computers. 2004, ( 1 ) :300 - 304.
  • 9D W Bliss, K W Forsythe. Multiple-Input Multiple-Output(MIMO) radar and imaging: Degrees of freedom and resolution[ Z]. Conference Record of the 37th Asilomar Conference on Signals, Systems and Computers. 2003, ( 1 ) :54-59.
  • 10K W Forsythe, D W Bliss, G S Fawcett. Multiple-Input Multiple-Output (MIMO) radar: Performance issues[ Z ].Conference Record of the 38th Asilomar Conference on Signals, Systems and Computers. 2004, ( 1 ) :310 -315.

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