%0 Journal Article
%T Optimization of main ridge slice of ambiguity function of emitter signals<br>辐射源信号模糊函数主脊切面特征优化
%A LONG Liangjiang
%A ZAHANG Gexiang
%A TIAN Bo
%A WANG Qing
%A <br>龙良将
%A 张葛祥
%A 田波
%A 王庆
%J 重庆邮电大学学报(自然科学版)
%D 2013
%I 
%X 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.
%K radar emitter
%K feature extraction
%K main ridge slice
%K quantum-inspired evolutionary algorithm<br>雷达辐射源
%K 特征提取
%K 主脊切面
%K 量子进化算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=01BA20E8BA813E1908F3698710BBFEFEE816345F465FEBA5&cid=96E6E851B5104576C2DD9FC1FBCB69EF&jid=5C2694A2E5629ECD6B59D7B28C6937AD&aid=1D447377FA3F59D03AAC5F90FE8AAC18&yid=FF7AA908D58E97FA&iid=CA4FD0336C81A37A&sid=6700D0D256586E73&eid=8C83C265AD318E34&journal_id=1673-825X&journal_name=重庆邮电大学学报(自然科学版)&referenced_num=0&reference_num=0