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LMS based Iterative Decision Feedback Equalizer for Wireless Packet Data Transmission  

Choi Yun-Seok (삼성전자 네트워크사업부)
Park Hyung-Kun (한국기술교육대학교 정보기술공학부)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.10, no.7, 2006 , pp. 1287-1294 More about this Journal
Abstract
In many current wireless packet data system, the short-burst transmissions are used, and training overhead is very significant for such short burst formats. So, the availability of the short training sequence and the fast converging algorithm is essential in the adaptive equalizer. In this paper, the new equalizer algorithm is proposed to improve the performance of a MTLMS (multiple-training least mean square) based DFE (decision feedback equalizer)using the short training sequence. In the proposed method, the output of the DFE is fed back to the LMS (least mean square) based adaptive DEF loop iteratively and used as an extended training sequence. Instead of the block operation using ML (maximum likelihood) estimator, the low-complexity adaptive LMS operation is used for overall processing. Simulation results show that the perfonnance of the proposed equalizer is improved with a linear computational increase as the iterations parameter in creases and can give the more robustness to the time-varying fading.
Keywords
iterative DFE; multiple-training; least mean aquare; adaptive qualizer; MTLMS;
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