Title :
A quantum-inspired evolutionary algorithm based on P systems for radar emitter signals
Author :
Liu, Chunxiu ; Zhang, Gexiang ; Zhu, Yinghua ; Fang, Chun ; Liu, Hongwen
Author_Institution :
Sch. of Electr. Eng., Southwest Jiaotong Univ., Chengdu, China
Abstract :
In this paper, a quantum-inspired evolutionary algorithm based on P systems (QEPS) is used for radar emitter signals to promote the application of membrane computing. QEPS combines the framework and evolution rules of P systems with the chromosome representation and evolutionary mechanism of quantum-inspired evolutionary algorithms (QIEA). With good global search capability and rapid convergence, QEPS can extract specific information from radar emitter signals in a short span of time. Experiments are carried out on linear-frequency modulated radar emitter signals with 10 db signal-to-noise rate to test the effectiveness and practicality of the introduced approach. Experimental results show that QEPS performs better than the greedy algorithm and the counterpart QIEA.
Keywords :
biocomputing; electrical engineering computing; evolutionary computation; radar; P systems; chromosome representation; distributed computing model; membrane computing; parallel computing; quantum-inspired evolutionary algorithm; radar emitter signals; Biological cells; Biomembranes; Computer applications; Convergence; Data mining; Evolutionary computation; Greedy algorithms; Quantum computing; Radar applications; Testing;
Conference_Titel :
Bio-Inspired Computing, 2009. BIC-TA '09. Fourth International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3866-2
Electronic_ISBN :
978-1-4244-3867-9
DOI :
10.1109/BICTA.2009.5338163
