The impact of Genetic Algorithm´s parameters on fixed interference nulling for circular array

Author

Cheng, Weijun ; Liu, Jie ; Zhu, Bocheng

Author_Institution

Sch. of Inf. Eng., Minzu Univ. of China, Beijing, China

fYear

2009

fDate

16-18 Oct. 2009

Firstpage

131

Lastpage

135

Abstract

The suppression of fixed interference for uniform circular array using an improved binary coding method is investigated in this paper, which is based on Genetic Algorithm. The code lengths of the algorithm´s least amplitude significant bits and least phase significant bits are analyzed and their impacts on performance are discussed. Finally, a general selection range of parameters is given and the simulation results show that it can greatly improve the convergence performance of the algorithm and the depth of nulling.

Keywords

array signal processing; binary codes; genetic algorithms; binary coding method; circular array; fixed interference nulling; genetic algorithm; least amplitude significant bits; least phase significant bits; Algorithm design and analysis; Array signal processing; Computational complexity; Genetic algorithms; Genetic engineering; Interference suppression; Linear antenna arrays; Performance analysis; Phased arrays; Signal to noise ratio; Adaptive Beamforming; Genetic Algorithm; Least Amplitude Significant Bits; Least Phase Significant Bits;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications Technology and Applications, 2009. ICCTA '09. IEEE International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-4816-6

Electronic_ISBN

978-1-4244-4817-3

Type

conf

DOI

10.1109/ICCOMTA.2009.5349222

Filename

5349222