Title :
A low complexity turbo adaptive interference cancellation using antenna arrays for W-CDMA
Author :
Mottier, David ; Brunel, Lo?¯c
Author_Institution :
Mitsubishi Electr. ITE, Rennes, France
fDate :
6/23/1905 12:00:00 AM
Abstract :
This paper investigates an adaptive iterative space-time interference cancellation receiver for wideband code division multiple access (W-CDMA). Each iteration of the interference cancellation includes adaptive beamforming, adaptive path-combining and soft-input soft-output decoding. The complexity of the demodulation process using very simple normalized least mean square (N-LMS) adaptive algorithms is limited with no need of space-time channel estimation. Adaptive space-time processing algorithms are shown to benefit from the iterative process. Simulation results on a UMTS-like scenario show that this receiver achieves performance that is very close to the single user bound, even for highly interfered networks
Keywords :
antenna arrays; array signal processing; cellular radio; channel coding; code division multiple access; computational complexity; demodulation; interference suppression; iterative decoding; least mean squares methods; parameter estimation; radio receivers; space-time adaptive processing; telecommunication channels; turbo codes; 3G mobile radio systems; IMT-2000; UMTS; W-CDMA; adaptive beamforming; adaptive path-combining; adaptive signal processing; antenna arrays; channel decoding; channel estimation; demodulation; iterative space-time interference cancellation; receiver; soft-input soft-output decoding; turbo adaptive interference cancellation; wideband code division multiple access; 3G mobile communication; Adaptive arrays; Adaptive signal processing; Antenna arrays; Array signal processing; Base stations; Channel estimation; Interference cancellation; Iterative algorithms; Multiaccess communication;
Conference_Titel :
Vehicular Technology Conference, 2001. VTC 2001 Fall. IEEE VTS 54th
Print_ISBN :
0-7803-7005-8
DOI :
10.1109/VTC.2001.956478