MMSE Detection of Cdma Signals: Analysis for Random Signature Sequences
- 24 August 2005
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
The performance of a finite complexity Minimum Mean Squared Error (MMSE) ear detector for demodulating Direct Sequence Spread-Spectrum (DS/SS) Code Division Multiple Access (CDMA) signals is studied. The MMSE detector is near-far resistant, and can be implemented adaptively when no explicit knowledge of the interferers' signature sequences is available. We assume that users are assigned random binary signature sequences and derive upper and lower bounds on the average near far resistance of the MMSE detector. For synchronous CDMA, the MMSE detector considered has the same near-far resistance as the maximum likelihood and decorrelating detectors, so that the bounds derived apply to these detectors as well. Approximate expressions for average error probability and signal-to-interference ratio are also presented, and are compared with the analogous results for the matched filter receiver with random signature sequences.Keywords
This publication has 5 references indexed in Scilit:
- Error probability and near-far resistance of minimum mean squared error interference suppression schemes for CDMAPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Equalization for interference cancellation in spread spectrum multiple access systemsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Minimum mean squared error interference suppression for direct-sequence spread-spectrum code-division multiple-accessPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Near-far resistance of multiuser detectors in asynchronous channelsIEEE Transactions on Communications, 1990
- Linear multiuser detectors for synchronous code-division multiple-access channelsIEEE Transactions on Information Theory, 1989