Title :
A chaotic neural beamformer for wireless communications
Author :
Leung, Henry ; Quach, Ban ; Lo, Titus ; Litva, John
Author_Institution :
Radar & Space Div., Defence Res. Establ. Ottawa, Ont., Canada
Abstract :
In this paper, a neural beamformer combined with a chaotic CDMA is proposed. The neural beamformer uses a Hopfield net to achieve the optimal beamforming adaptively, and a symbolic chaotic signal is used as a spreading sequence for spread spectrum communication. Computer simulations show that not only the neural beamformer has a faster convergent rate than the LMS beamformer, the chaotic neural beamformer also has a better interference nulling performance than the LMS beamformer with a standard m-sequence spread spectrum system because of the low auto-/cross-correlation properties of the chaotic signal
Keywords :
Hopfield neural nets; adaptive antenna arrays; chaos; code division multiple access; interference suppression; pseudonoise codes; spread spectrum communication; Hopfield net; PN code; adaptive beamforming; auto-correlation; chaotic CDMA; computer simulation; cross-correlation; interference ing performance; neural beamformer; optimal beamforming; spread spectrum communication; spreading sequence; symbolic chaotic signal; wireless communications; Adaptive arrays; Array signal processing; Chaotic communication; Interference; Least squares approximation; Multiaccess communication; Radar antennas; Radar tracking; Spread spectrum radar; Wireless communication;
Conference_Titel :
Communications, Computers, and Signal Processing, 1995. Proceedings., IEEE Pacific Rim Conference on
Conference_Location :
Victoria, BC
Print_ISBN :
0-7803-2553-2
DOI :
10.1109/PACRIM.1995.519588
