针对目标识别的波形优化设计方法  

A Method of Waveform Design for the Recognition of Radar Targets

作　　者：纠博[1] 刘宏伟[1] 胡利平[1] 吴顺君[1] 

机构地区：[1]西安电子科技大学雷达信号处理国家重点实验室,西安710071

出　　处：《电子与信息学报》2009年第11期2585-2590,共6页Journal of Electronics & Information Technology

基　　金：教育部长江学者及创新团队支持计划(IRT0645);国家自然科学基金(60772140)资助课题

摘　　要：针对宽带雷达多类目标识别波形优化中的方位敏感性、距离敏感性和初相不确定性问题,该文在高斯色噪声背景下提出一种基于遗传算法和最大滑动相关分类器的波形优化方法,简称为GASC方法。该方法定义目标回波和同类模板之间的匹配系数与该目标回波和异类模板之间匹配系数的差为匹配距离,以最大化各类目标之间的匹配距离的最小值作为优化准则,并约束发射信号幅度是恒定的,然后通过遗传算法进行求解,得到优化波形信号。仿真结果表明,与现有方法相比,该方法能更好地增加各类目标之间的可分性,进而提高目标的识别性能。Aiming at the problems of the target-aspect sensitivities,the time-shift sensitivities and the initial phase uncertainty in the waveform design for the recognition of broadband radar targets,a novel method termed GASC（Genetic Algorithm and Slide Correlation method） is proposed which is based on genetic algorithm and slide correlation classifier in the presence of additive colored Gaussian noise.This method gives a new optimization measurement called matched distance which is defined as the matched coefficient between the echoes and the templates of same class of target minus the matched coefficient between the echoes and the templates of different class of target,and the optimization is done via maximizing the minimal matched distance of all kinds of target with the constraint that the magnitude of the transmit pulse is constant.Using genetic algorithm,the optimized waveform is obtained.The experimental results prove the efficiency of the proposed method.Compared to the available approaches,the GASC can increase the class separability and obtain the better performance.

关 键 词：宽带雷达 目标识别 波形设计 遗传算法 滑动相关分类器 

分 类 号：TN957.51[电子电信—信号与信息处理]