A Geometric Approach to Improve Interference Mitigation in Multi-User Detection and Equalization

Ananya SEN GUPTA; Jill K NELSON; WEIWEI ZHOU; Andrew C SINGER; James PREISIG

doi:10.1109/TSP.2010.2094191

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A Geometric Approach to Improve Interference Mitigation in Multi-User Detection and Equalization

Journal article

Peer reviewed

A Geometric Approach to Improve Interference Mitigation in Multi-User Detection and Equalization

Ananya SEN GUPTA, Jill K NELSON, WEIWEI ZHOU, Andrew C SINGER and James PREISIG

IEEE transactions on signal processing, Vol.59(4), pp.1694-1705

2011

DOI: 10.1109/TSP.2010.2094191

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Abstract

We apply maximal asymptotic conditional efficiency joint successive interference cancellation (MACE-JSIC) to frequency-selective channel equalization and propose improvements that extend MACE-JSIC detection to the broader paradigm of time-varying and imprecisely known communication systems. The need for expensive redesign to include any change in the interfering signals is a fundamental limitation of MACE-JSIC detection despite its high performance and low detection complexity. In this work, we derive sufficiency criteria that reduce maximum asymptotic efficiency (MAE) detection to low-complexity decorrelation and exploit this relationship to extend the MACE-JSIC approach to time-varying communication systems. Simulations on several multi-user systems and frequency-selective channels demonstrate that the performance of the proposed detectors is consistent with theoretical expectations.

Applied Sciences

Signal and communications theory

Telecommunications and information theory

Exact sciences and technology

Signal, noise

Information, signal and communications theory

Detection, estimation, filtering, equalization, prediction

Details

Title: Subtitle: A Geometric Approach to Improve Interference Mitigation in Multi-User Detection and Equalization
Creators: Ananya SEN GUPTA - Department of Applied Ocean Physics and Engineering, Woods Hole Oceanographic Institution, Woods Hole, MA 02543, United States
Jill K NELSON - Department of Electrical and Computer Engineering, George Mason University, Fairfax, VA 22030, United States
WEIWEI ZHOU - Department of Electrical and Computer Engineering, George Mason University, Fairfax, VA 22030, United States
Andrew C SINGER - Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, United States
James PREISIG - Department of Applied Ocean Physics and Engineering, Woods Hole Oceanographic Institution, Woods Hole, MA 02543, United States
Resource Type: Journal article
Publication Details: IEEE transactions on signal processing, Vol.59(4), pp.1694-1705
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TSP.2010.2094191
ISSN: 1053-587X
eISSN: 1941-0476
Language: English
Date published: 2011
Academic Unit: Electrical and Computer Engineering
Record Identifier: 9984083213002771

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