Reduced-rank chip-level MMSE equalization for the 3G CDMA forward link with code-multiplexed pilot
EURASIP Journal on Applied Signal Processing
Networked MIMO with clustered linear precoding
IEEE Transactions on Wireless Communications
Robust reduced-rank adaptive algorithm based on parallel subgradient projection and Krylov subspace
IEEE Transactions on Signal Processing
Coordinated multipoint transmission systems with the clustered super-cell structure configuration
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Proceedings of the Seventh ACM International Conference on Underwater Networks and Systems
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The conventional signature-matched RAKE processor for multipath direct-sequence code division multiple access channels is viewed as a regular linear tap-weight filter of length equal to the sum of the system processing gain and the user channel memory. In this paper, performance improvements are sought in the context of adaptive filtering under maximum signal-to-interference-plus-noise-ratio criteria. The minimum-variance-distortionless-response RAKE (RAKE-MVDR) filter and the lower complexity scalar optimized auxiliary-vector RAKE (RAKE-AUX) filter are developed. Bit error rate (BER) comparisons with the conventional RAKE signature-matched filter are carried out for training sets of reasonably small size, perfectly known, and mismatched/estimated channel coefficients, and extreme near-far system configurations