@inproceedings{519fe4446dc747ab87e27c97a022b25d,
title = "Low-rank minimum variance CDMA receiver in multipath channels",
abstract = "The minimum variance receiver has been previously proposed to suppress the multiple-access interference (MAI) blindly in CDMA channels by minimizing the receiver's output variance based on constrained optimization. In this paper, we propose a low-complexity minimum variance receiver that achieves almost the same performance as the high-complexity one with the optimal constraint vector. The proposed receiver is a RAKE receiver followed by an equal gain combiner. The impulse response of the filter in each finger is obtained by the minimum variance criterion. The low-rank minimum variance receiver uses a reduced-rank approximation of the estimated data covariance matrix. Its performance is better than the full-rank version of the receiver. The receiver is implemented adaptively with the same structure as a generalized sidelobe canceler.",
author = "Xiaodong Cai and Hongya Ge and Akansu, {Ala N.}",
note = "Publisher Copyright: {\textcopyright} 2000 IEEE.; 25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000 ; Conference date: 05-06-2000 Through 09-06-2000",
year = "2000",
doi = "10.1109/ICASSP.2000.861125",
language = "English (US)",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2877--2880",
booktitle = "CommunicationsSensor Array and Multichannel Signal Processing",
address = "United States",
}