Analyzing radar emitter signals with membrane algorithms

Authors:
Ge-Xiang Zhang;Chun-Xiu Liu;Hai-Na Rong
Affiliations:
School of Electrical Engineering, Southwest Jiaotong University, Chengdu, 610031, PR China;School of Electrical Engineering, Southwest Jiaotong University, Chengdu, 610031, PR China;School of Electrical Engineering, Southwest Jiaotong University, Chengdu, 610031, PR China
Venue:
Mathematical and Computer Modelling: An International Journal
Year:
2010

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Abstract

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.