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

Volume

5

fYear

2000

fDate

2000

Firstpage

2469

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on

Conference_Location

Istanbul

ISSN

1520-6149

Print_ISBN

0-7803-6293-4

Type

conf

DOI

10.1109/ICASSP.2000.860934

Filename

860934