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

fYear

2009

fDate

20-21 Sept. 2009

Firstpage

502

Lastpage

505

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/YCICT.2009.5382446

Filename

5382446