Abstract
In this paper, we propose an iterative beamformer for multi-Transmit, multi-receive wireless communications. The paper introduces an optimal MAP receiver with implementation complexity exponential in terms of the number of transmitting antennas, and a suboptimal nonlinear parallel interference cancelation scheme that significantly reduces the degradation effect of interference with implementation complexity linear in the number of transmitting antennas. The proposed receiver has a two-stage learning strategy: A linear beamforming phase using a short training sequence for learning the linear decision regions, and a nonlinear iterative scheme that makes use of the implicit form of supervision provided by a forward error-correction code (FEC) for tracking the nonlinear optimal decision boundaries. Simulations are provided as experimental evidence for the performance of the new receiver.
Original language | English |
---|---|
Title of host publication | Conference Record of the Thirty-Third Asilomar Conference on Signals, Systems, and Computers |
Publisher | IEEE |
Pages | 957-961 |
Number of pages | 5 |
ISBN (Print) | 0780357000 |
DOIs | |
Publication status | Published - 1999 |
Event | 33rd Asilomar Conference on Signals, Systems, and Computers 1999 - Pacific Grove, United States Duration: 24 Oct 1999 → 27 Oct 1999 |
Conference
Conference | 33rd Asilomar Conference on Signals, Systems, and Computers 1999 |
---|---|
Abbreviated title | ACSSC 1999 |
Country/Territory | United States |
City | Pacific Grove |
Period | 24/10/99 → 27/10/99 |
ASJC Scopus subject areas
- Signal Processing
- Computer Networks and Communications