Applications of Adaptive LMS Algorithm for Detection of CDMA Signals | ||||
| The International Conference on Electrical Engineering | ||||
| Article 37, Volume 6, 6th International Conference on Electrical Engineering ICEENG 2008, May 2008, Page 1-11 PDF (159.83 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/iceeng.2008.34236 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Khairy A. Elbarbary; Hany A. Mansour | ||||
| Egyptian Armed Forces. | ||||
| Abstract | ||||
| Abstract: The well known matched filter maximum likelihood receiver (MF-ML) for the code division multiple access (CDMA) system uses a bank of matched lters followed by a threshold detector for detection of users’ transmitted symbols [1]. The performance of the MF-ML receiver degrades in presence of multipath and multiple access environments. In this paper, an application of the least mean square (LMS) adaptive algorithm is presented by replacing the bank of matched lters by a bank of adaptive minimum mean square error (MMSE) lters. This formal replacement has signicant conceptual consequences and provides improvement by several performance measures. The advantages of the proposed adaptive MMSE-ML receiver over the ML-MF receiver are: 1) ability to perform joint synchronization, channel parameter estimation, and signal detection where the signal is sent over an unknown, slowly time-varying, frequencyselective multipath fading channel; and 2) signicantly improved bit error rate (BER) performance in a multicultural mobile communications environments. Numerical results showing the BER performance of the MMSE-ML receiver in a multipath channel environment is presented, the results are compared with the performance of the conventional (ML-MF). | ||||
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