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基于遗传算法的正交多相码设计 被引量:25

Genetic Algorithm based MIMO Radar Polyphase Code Design
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摘要 MIMO雷达能有效地促进现代雷达的性能,由于MIMO雷达发射相互正交的信号,所以设计具有低自相关和互相关的正交信号是MIMO雷达实现的关键问题。本文基于自相关及互相关峰和能量为代价函数,提出了一种混合的优化算法来数字搜索正交多相码集,该算法包括遗传算法及叠代码选择算法。用该算法进行了仿真优化设计,仿真结果显示,提出的算法是有效性和可行的。 Multiple Input Multiple Output (MIMO) radar can effectively improve radar performance by transmitting specially designed orthogonal signals. Based on the autocorrelation and crosscorrelation peak and energy cost function, a novel hybrid algorithm is presented to numerically optimize such orthogonal code sets. The proposed algorithm integrates a statistical Genetic Algorithm (GA) with the traditional iterative code selection method. Simulation results show that the proposed algorithm is effective for the design of polyphase signals used in MIMO radar.
作者 刘波 何子述
出处 《电子测量与仪器学报》 CSCD 2008年第2期62-66,共5页 Journal of Electronic Measurement and Instrumentation
基金 国家自然科学基金资助项目(编号:60672044)
关键词 MIMO雷达 多相正交码 遗传算法 MIMO radar, polyphase orthogonal code, genetic algorithm.
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