A Comparison of Soft-In/Soft-Out Algorithms for Turbo-Detection (1994)
| Venue: | in Proc. Intern. Conf. on Telecomm |
| Citations: | 28 - 4 self |
BibTeX
@INPROCEEDINGS{Bauch94acomparison,
author = {Gerhard Bauch and Volker Franz},
title = {A Comparison of Soft-In/Soft-Out Algorithms for Turbo-Detection},
booktitle = {in Proc. Intern. Conf. on Telecomm},
year = {1994},
pages = {259--263}
}
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Abstract
In turbo--detection the "turbo principle" is applied to joint equalization and decoding. The performance of a turbo scheme strongly depends on the quality of the soft values passed between the soft--in/soft-- out decoders. In this paper we describe the differences between optimum and suboptimum soft--in/soft--out algorithms for equalization and decoding and compare them in a turbo--detection scheme concerning complexity and performance for perfect and mismatched channel estimation. Furthermore, a possibility to improve the soft--values of suboptimum algorithms which tend to be too optimistic is mentioned. I. INTRODUCTION AND PRINCIPLE OF TURBO--DETECTION The "turbo principle" which was first applied to parallel concatenated convolutional codes ("turbo--codes") in [1] can be applied to many detection and decoding problems. The idea of turbo--codes is to build a strong code by concatenation of simple component codes so that decoding can be performed in steps using algorithms of managea...
