辐射源信号模糊函数主脊切面特征优化  

Optimization of main ridge slice of ambiguity function of emitter signals

作　　者：龙良将[1] 张葛祥[1] 田波[1] 王庆[1] 

机构地区：[1]西南交通大学电气工程学院,四川成都610031

出　　处：《重庆邮电大学学报（自然科学版）》2013年第1期96-100,共5页Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition)

基　　金：国家自然科学基金(61170016;60702026);四川省青年科技基金(09ZQ026-040)~~

摘　　要：模糊函数主脊切面特征能较好地反映不同信号波形结构上的差异,但搜索表示信号的模糊函数主脊切面角度的计算量非常大,因此,如何快速精确地寻求这个角度成为一个亟需解决的问题。先将搜索模糊函数主脊切面转化成一个优化问题,考虑量子进化算法(quantum-inspired evolutionary algorithm,QEA)具有种群小、收敛速度较快、全局寻优能力强的特点,应用量子进化算法对这个问题进行寻优。实验结果表明,针对各种信号,算法在不降低参数估计精度的条件下,可以大大减少计算量。The main ridge slice features of ambiguity function can well reflect the structural differences between signal waveforms,but it requires huge computational complexity to search the angle that can characteriz the main ridge slice of ambiguity,so the problem about how to find this angle fast and accurately needs to be solved urgently.In this paper,the search of the main ridge slice of ambiguity function is transformed into an optimized problem.Considering that the QEA is characterized by small population size,rapid convergence and strong global search capability,this article employs QEA to solve this problem.Experimental results show that the computational amount reduced enormously without lowering the precision of the parameter for a variety of signals.

关 键 词：雷达辐射源 特征提取 主脊切面 量子进化算法 

分 类 号：TN911[电子电信—通信与信息系统]