DocumentCode :
357785
Title :
A CMA adaptive array with digital phase shifters by a genetic algorithm and a steepest descent method
Author :
Kimura, Y. ; Hirasawa, K.
Author_Institution :
Inst. of Inf. Sci. & Electron., Tsukuba Univ., Ibaraki, Japan
Volume :
2
fYear :
2000
fDate :
16-21 July 2000
Firstpage :
914
Abstract :
We consider CMA (constant modulus algorithm) adaptive arrays with digital phase shifters controlled by a genetic algorithm (GA) and a steepest descent method (SDM). As an example, 4- and 6- element circular arrays are considered. The element is a 50 ohm loaded dipole antenna. It is assumed that desired and undesired signals are /spl pi//4-shift-QPSK-modulated plane waves. The received signal at each receiving antenna element is calculated by the method of moments where mutual coupling effects are taken into account and is used as an input of the CMA adaptive processor. Then its convergence characteristics by the GA and the SDM are compared.
Keywords :
adaptive antenna arrays; antenna phased arrays; array signal processing; convergence of numerical methods; digital radio; dipole antenna arrays; electromagnetic coupling; genetic algorithms; land mobile radio; method of moments; phase shifters; quadrature phase shift keying; /spl pi//4-shift-QPSK-modulated plane waves; 50 ohm; CMA adaptive array; CMA adaptive processor; circular arrays; constant modulus algorithm; convergence characteristics; digital land mobile communications; digital phase shifters; genetic algorithm; loaded dipole antenna; method of moments; mutual coupling effects; received signal; receiving antenna element; steepest descent method; Adaptive arrays; Adaptive control; Digital control; Dipole antennas; Genetic algorithms; Loaded antennas; Phase shifters; Phased arrays; Programmable control; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Antennas and Propagation Society International Symposium, 2000. IEEE
Conference_Location :
Salt Lake City, UT, USA
Print_ISBN :
0-7803-6369-8
Type :
conf
DOI :
10.1109/APS.2000.875368
Filename :
875368
Link To Document :
بازگشت