Title :
Adaptive forgetting factor recursive least squares for blind interference suppression in DS/CDMA systems
Author :
Krishnamurthy, Vikram ; Singh, Sumeetpal
Author_Institution :
Dept. of Electr. & Electron. Eng., Melbourne Univ., Parkville, Vic., Australia
Abstract :
We develop an adaptive forgetting factor blind RLS algorithm for code-aided suppression of multiple access interference (MAI) and narrow-band interference (NBI) in DS/CDMA systems. The algorithm optimally adapts both the forgetting factor and the weight vector of the linear multiuser detector using the received measurements. Simulations show that the proposed algorithm is superior to the blind RLS algorithm in dynamic environments
Keywords :
AWGN channels; adaptive signal detection; adaptive signal processing; code division multiple access; interference suppression; land mobile radio; least squares approximations; multiuser channels; radiofrequency interference; recursive estimation; spread spectrum communication; AWGN channel; DS/CDMA systems; MAI suppression; adaptive forgetting factor blind RLS algorithm; adaptive forgetting factor recursive least squares; blind interference suppression; code-aided suppression; dynamic environments; linear multiuser detector; mean output energy detector; mobile wireless channels; multiple access interference; narrow-band interference; received measurements; simulations; weight vector; Detectors; Interference suppression; Least squares approximation; Least squares methods; Multiaccess communication; Multiple access interference; Multiuser detection; Narrowband; Resonance light scattering; Vectors;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
0-7803-6293-4
DOI :
10.1109/ICASSP.2000.860934
