Journal article
Equalization and interference cancellation in linear multiuser systems based on second-order statistics
IEEE transactions on signal processing, Vol.49(9), pp.2042-2049
2001
DOI: 10.1109/78.942632
Abstract
Potential applications of blind channel identification and equalization in data communication systems have recently been explored. For multiuser systems that are irreducible and column-reduced, second-order statistical methods normally can identify channel dynamics up to a unitary mixing matrix. Additional user separation (equalization) can rely on higher order statistics and other prior information. In this paper, we investigate the equalizability of user signals and the cancellation of unwanted interfering signals based only on second-order output statistics. We show that a user channel can be equalized if it has the longest memory. Furthermore, interfering user signals can be cancelled under a more relaxed multiuser channel condition.
Details
- Title: Subtitle
- Equalization and interference cancellation in linear multiuser systems based on second-order statistics
- Creators
- Roberto LOPEZ-VALCARCE - VigoZHI Ding - University of California, DavisSoura Dasgupta - University of Iowa
- Resource Type
- Journal article
- Publication Details
- IEEE transactions on signal processing, Vol.49(9), pp.2042-2049
- Publisher
- Institute of Electrical and Electronics Engineers
- DOI
- 10.1109/78.942632
- ISSN
- 1053-587X
- eISSN
- 1941-0476
- Language
- English
- Date published
- 2001
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984197169202771
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