Analyzing radar emitter signals with membrane algorithms

被引:35
作者
Zhang, Ge-Xiang [1 ]
Liu, Chun-Xiu [1 ]
Rong, Hai-Na [1 ]
机构
[1] SW Jiaotong Univ, Sch Elect Engn, Chengdu 610031, Peoples R China
基金
中国国家自然科学基金;
关键词
Membrane computing; Membrane algorithm; Radar emitter signal; Time-frequency atom decomposition; INSPIRED EVOLUTIONARY ALGORITHM; TABU SEARCH; P-SYSTEMS; DECOMPOSITION;
D O I
10.1016/j.mcm.2010.06.002
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The analysis of radar emitter signals is a critical process in modern electronic reconnaissance systems. This paper proposes the application of a modified variant, called MQEPS, of the quantum-inspired evolutionary algorithm based on P systems (QEPS) to the time-frequency atom decomposition for analyzing radar emitter signals. MQEPS is an appropriate combination of P system approaches, quantum-inspired evolutionary algorithms and a local search, and is designed by using the hierarchical framework of cell-like P systems, the objects consisting of quantum-inspired bits and classical bits, the rules composed of quantum-inspired gate evolutionary rules and evolution rules in P systems, and tabu search in the skin membrane. Extensive experiments conducted on satisfiability problems and radar emitter signals show the effectiveness and advantages of the presented algorithm. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1997 / 2010
页数:14
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