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| Title | Adaptive step-size algorithms for blind interference suppression in DS/CDMA systems |
| Publication Type | Journal Article |
| Year of Publication | 2001 |
| Authors | Krishnamurthy, V., G. Yin, and S. Singh |
| Journal | Signal Processing, IEEE Transactions on |
| Volume | 49 |
| Pagination | 190 -201 |
| Date Published | jan. |
| ISSN | 1053-587X |
| Keywords | adaptive forgetting factor blind RLS algorithms, adaptive signal detection, adaptive signal processing, adaptive step-size algorithms, adaptive step-size blind LMS algorithms, blind interference suppression, blind linear multiuser detector, cellular radio, code division multiple access, code-aided suppression, DS/CDMA systems, dynamic environments, interference suppression, least mean squares methods, multiple access interference, narrowband interference, radiofrequency interference, spread spectrum communication, weight vector |
| Abstract | This paper develops adaptive step-size blind LMS algorithms and adaptive forgetting factor blind RLS algorithms for code-aided suppression of multiple access interference (MAI) and narrowband interference (NBI) in DS/CDMA systems. These algorithms optimally adapt both the step size (forgetting factor) and the weight vector of the blind linear multiuser detector using the received measurements. Simulations are provided to compare the proposed algorithms with previously studied blind RLS and blind LMS algorithms. They show that the adaptive step-size blind LMS algorithm and adaptive forgetting factor blind RLS algorithm field significant improvements over the standard blind LMS algorithm and blind RLS algorithm in dynamic environments where the number of interferers are time-varying |
| URL | http://dx.doi.org/10.1109/78.890361 |
| DOI | 10.1109/78.890361 |