Browse > Article

Design of Novel Iterative LMS-based Decision Feedback Equalizer  

Choi, Yun-Seok (삼성전자 네트워크사업부)
Park, Hyung-Kun (한국기술교육대학교 정보기술공학부)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.56, no.11, 2007 , pp. 2033-2035 More about this Journal
Abstract
This paper proposes a novel iterative LMS-based decision feedback equalizer for short burst transmission with relatively short training sequence. In the proposed equalizer, the longer concatenated training sequence can provide the more sufficient channel information and the reused original training sequence can provide the correct decision feedback information. In addition, the overall adaptive processing is performed using the low complexity LMS algorithm. The study shows the performance of the proposed method is enhanced with the number of iterations and, furthermore, better than that of the conventional LMS-based DFEs with the training sequence of longer or equal length. Computational complexity is increased linearly with the number of iterations.
Keywords
decision feedback equalizer; block iterative LMS; multi-training LMS;
Citations & Related Records

Times Cited By SCOPUS : 0
연도 인용수 순위
  • Reference
1 Wu, W. R., and Tsuie, Y. M.: 'LMS-based Decision Feedback Equalizer for IS-136 Receivers', IEEE Tr. Veh. Tech., 2002, 51, pp. 130-143   DOI   ScienceOn
2 Byoung-Jo, K., and Donald C. C.: 'Blind Equalization for Short Burst Wireless Communications', IEEE Tr. Veh. Tech., 2000, 49, pp. 1235-1247   DOI   ScienceOn
3 Doherty, J. F., and Mammone, R. J.: 'Adaptive Algorithm for Stable Decision-feedback Filtering', IEEE Tr. Circuits Syst, II, 1993, 40, pp. 1-9