Title :
The optimization of orthogonal coded signal group based on multiple population evolving strategies
Author :
Jing, Wang ; Feng, Luo ; Shunjun, Wu ; ShaoFeng, Fu
Author_Institution :
Nat. Key Lab. of Radar Signal Process., Xidian Univ., Xi´´an, China
Abstract :
An improved genetic algorithm based on multiple population evolving is presented and applied to the optimization of orthogonal coded signal group for MIMO radar systems. According to the fitness of individuals, the population is divided into three groups and different evolving strategies are applied to every sub-population. The inoculation to all sub-population is actualized. This algorithm can strengthen and preserve the diversity of population. Meanwhile it can enhance the constringency speed and overcome the precocity of GA. Simulation results show that the improved genetic algorithm is effective and the optimized signal can used in MIMO radar.
Keywords :
MIMO radar; genetic algorithms; orthogonal codes; radar signal processing; MIMO radar systems; genetic algorithm; multiple population evolving strategies; optimization; orthogonal coded signal group; Algorithm design and analysis; Autocorrelation; Doppler radar; Frequency; Genetic algorithms; MIMO; Object detection; Radar signal processing; Signal design; Signal processing; genetic algorithm; multiple population evolving; orthogonal coded signal; waveform design;
Conference_Titel :
Information, Computing and Telecommunication, 2009. YC-ICT '09. IEEE Youth Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-5074-9
Electronic_ISBN :
978-1-4244-5076-3
DOI :
10.1109/YCICT.2009.5382446
