An improved decision feedback equalization using a priori information
✍ Scribed by Siba Prasada Panigrahi; Sasmita Kumari Padhy; Santanu Kumar Nayak
- Publisher
- John Wiley and Sons
- Year
- 2009
- Tongue
- English
- Weight
- 301 KB
- Volume
- 24
- Category
- Article
- ISSN
- 0890-6327
- DOI
- 10.1002/acs.1108
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✦ Synopsis
Abstract
This paper addresses the exhaustive computational complexity of the maximum‐a‐posteriori equalizer and the inefficiency of the conventional decision feedback equalizer (DFE) algorithm in iterative equalization, especially when the higher‐level modulation is used with severely distorted Inter Symbol Interference channels. The new method proposed here improves the bit error rate (BER) performance by computing the extra metric r~n+1~ using the feedback symbols from previous iteration and combining it with a priori information of the symbols. After each iteration, the hard‐detected symbols are saved in the memory as a priori data for next iteration. We verified the proposed algorithm for Binary Phase Shift Keying and 8‐phase shift keying modulation. The promising simulation results show that the BER performance given by the proposed low complexity DFE algorithm improved dramatically throughout the iterations when the conventional DFE has only insignificant improvement in the process of iterative equalization. Copyright © 2009 John Wiley & Sons, Ltd.