Adaptive forgetting factor recursive least squares for blind interference suppression in DS/CDMA systems

TitleAdaptive forgetting factor recursive least squares for blind interference suppression in DS/CDMA systems
Publication TypeConference Paper
Year of Publication2000
AuthorsKrishnamurthy, V., and S. Singh
Conference NameAcoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on
Pagination2469 -2472 vol.5
Keywordsadaptive forgetting factor blind RLS algorithm, adaptive forgetting factor recursive least squares, adaptive signal detection, adaptive signal processing, AWGN channel, AWGN channels, blind interference suppression, code division multiple access, code-aided suppression, DS/CDMA systems, dynamic environments, interference suppression, land mobile radio, least squares approximations, linear multiuser detector, MAI suppression, mean output energy detector, mobile wireless channels, multiple access interference, multiuser channels, narrow-band interference, radiofrequency interference, received measurements, recursive estimation, simulations, spread spectrum communication, weight vector
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

URLhttp://dx.doi.org/10.1109/ICASSP.2000.860934
DOI10.1109/ICASSP.2000.860934

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