Home // ICDT 2011, The Sixth International Conference on Digital Telecommunications // View article

Multi-Level Log-Likelihood Ratio Clipping in a Soft-Decision Near-Maximum Likelihood Detector

Authors:
Sébastien Aubert
Andrea Ancora
Fabienne Nouvelle

Keywords: Log-Likelihood Ratio; bit clipping; List Sphere Decoder

Abstract:
Consider the MIMO detection background. While the hard-decision Sphere Decoder has been widely and recently considered as the most promising near-optimal detector, this perspective might fall down during the soft-decision extension through a List Sphere Decoder (LSD). Due to the finiteness of the LSD list output - that does not necessarily allow for generating explicitly the Log-Likelihood Ratios (LLRs), even through a max-log approximation - the issue of how to set the missing reliabilities has been addressed. This paper presents existing works concerning the main trend. In particular, it consists in setting the LLR to a pre-defined value, this operation being commonly referred as LLR Clipping. We discuss this choice that has a significant impact on the system performance, by providing a brief state of the art of the existing solutions. In addition in the presented work, a novel solution lies in the multi-level bit mapping. Despite of its simplicity, it allows for low distortion approximated LLR computation. By simulation, the superiority of our method over the existing solutions, is shown.

Pages: 30 to 35

Copyright: Copyright (c) IARIA, 2011

Publication date: April 17, 2011

Published in: conference

ISSN: 2308-3964

ISBN: 978-1-61208-127-4

Location: Budapest, Hungary

Dates: from April 17, 2011 to April 22, 2011