Improving Multi-Dimensional Graph-Based Soft Channel Estimation

Knievel, C., Hoeher, Peter, Tyrrell, A. and Auer, G. (2012) Improving Multi-Dimensional Graph-Based Soft Channel Estimation 2012 Ieee 75th Vehicular Technology Conference. IEEE Vehicular Technology Conference Proceedings . Ieee, New York. ISBN 1550-2252978-1-4673-0990-5

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Abstract

The principles and benefits of soft decisions are well known and widely applied. The advantage of knowing that a decision is reliable or not is obvious. Belief propagation within a factor graph enables a unified use of soft information for both channel estimation and data detection. However, if soft information does not reflect the true reliability of a decision, typically the achievable performance degrades. In this paper, the calculation of reliability information is refined to consider the event of unreliable soft decisions. The proposed solution is based on the average bit error probability calculated after each iteration and integrates nicely within existing factor graphs. Simulation results are provided to illustrate the performance gains.

Document Type: Book chapter
Additional Information: Univ Kiel, Fac Engn, Informat & Coding Theory Lab, D-24143 Kiel, Germany. Knievel, C (reprint author), Univ Kiel, Fac Engn, Informat & Coding Theory Lab, Kaiserstr 2, D-24143 Kiel, Germany. chk@tf.uni-kiel.de; ph@tf.uni-kiel.de; gunther.auer@ieee.org
Research affiliation: Kiel University
OceanRep > The Future Ocean - Cluster of Excellence
Projects: Future Ocean
Date Deposited: 14 May 2014 09:55
Last Modified: 14 May 2014 09:55
URI: http://eprints.uni-kiel.de/id/eprint/24066

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