Adaptive least mean square CDMA detection with Gram–Schmidt pre-processing
Gong, Y., Lim, T. J. and Farhang-Boroujeny, B. (2001) Adaptive least mean square CDMA detection with Gram–Schmidt pre-processing. IEE Proceedings: Communications, 148 (4). pp. 249-254. ISSN 1350-2425
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To link to this item DOI: 10.1049/ip-com:20010274
The Gram-Schmidt (GS) orthogonalisation procedure has been used to improve the convergence speed of least mean square (LMS) adaptive code-division multiple-access (CDMA) detectors. However, this algorithm updates two sets of parameters, namely the GS transform coefficients and the tap weights, simultaneously. Because of the additional adaptation noise introduced by the former, it is impossible to achieve the same performance as the ideal orthogonalised LMS filter, unlike the result implied in an earlier paper. The authors provide a lower bound on the minimum achievable mean squared error (MSE) as a function of the forgetting factor λ used in finding the GS transform coefficients, and propose a variable-λ algorithm to balance the conflicting requirements of good tracking and low misadjustment.