A novel approach to enable decorrelating multiuser detection without matrix inversion operations
✍ Scribed by Hsiao-Hwa Chen; Chi-Feng Wu
- Publisher
- John Wiley and Sons
- Year
- 2004
- Tongue
- English
- Weight
- 262 KB
- Volume
- 17
- Category
- Article
- ISSN
- 1074-5351
- DOI
- 10.1002/dac.679
No coin nor oath required. For personal study only.
✦ Synopsis
Abstract
This paper proposes a non‐matrix inversion based algorithm to implement decorrelating detection (DD), namely quasi‐decorrelating detector (QDD), which uses truncated matrix series expansion to overcome the problems associated with the matrix inversion in DD, such as noise enhancement, computational complexity and matrix singularity, etc. Two alternative QDD implementation schemes are presented in this paper; one is to use multi‐stage feedforward filters and the other is to use an __n__th order single matrix filter (neither of which involves matrix inversion). In addition to significantly reduced computational complexity if compared with DD, the QDD algorithm offers a unique flexibility to trade among MAI suppression, near‐far resistance and noise enhancement depending on varying system set‐ups. The obtained results show that the QDD outperforms DD in either AWGN or multipath channel if a proper number of feed‐forward stages can be used. We will also study the impact of correlation statistics of spreading codes on the QDD's performance with the help of a performance‐determining factor derived in the paper, which offers a code‐selection guideline for the optimal performance of QDD algorithm. Copyright © 2004 John Wiley & Sons, Ltd.