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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Krishnamurthy, V. Yin, G. Singh, S. |
| Copyright Year | 1991 |
| 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. |
| Sponsorship | IEEE Signal Processing Society |
| Starting Page | 190 |
| Ending Page | 201 |
| Page Count | 12 |
| File Size | 273771 |
| File Format | |
| ISSN | 1053587X |
| Volume Number | 49 |
| Issue Number | 1 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2001-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Interference suppression Least squares approximation Resonance light scattering Multiple access interference Narrowband Multiaccess communication Vectors Detectors Size measurement Heuristic algorithms |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Electrical and Electronic Engineering |
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