Decision Feedback Per-survivor Processing: New Reduced Complexity Adaptive MLSE Receiver

Author

Patwary, Mohammad N. ; Rapajic, Predrag B.

Author_Institution

Sch. of Electr. Eng. & Telecommun., New South Wales Univ., Sydney, NSW

fYear

2005

fDate

5-5 Oct. 2005

Firstpage

802

Lastpage

806

Abstract

A reduced complexity adaptive maximum likelihood sequence estimation (MLSE) receiver is proposed. A tentative decision (per-survivor processing) MLSE receiver is considered. Novelty of the proposed algorithm is the reduced computational complexity, which is totally independent of the channel impulse response length. In contrast, the computational complexity of the standard MLSE with Viterbi algorithm and PSP-MLSE is exponentially increases as the length of the channel impulse response increases. For a model channel impulse response of length three symbol spaced taps, proposed algorithm reduces 75% of the computational complexity of MLSE. This reduction percentage increases as the channel impulse response increases

Keywords

computational complexity; maximum likelihood sequence estimation; radio receivers; wireless channels; Viterbi algorithm; adaptive MLSE receiver; channel impulse response; decision feedback per-survivor processing; maximum likelihood sequence estimation; reduced computational complexity; AWGN; Bit error rate; Computational complexity; Degradation; Detection algorithms; Feedback; Maximum likelihood detection; Maximum likelihood estimation; Signal to noise ratio; Viterbi algorithm; Maximum Likelihood Sequence Estimation (MLSE); Per-Survivor Processing (PSP);

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, 2005 Asia-Pacific Conference on

Conference_Location

Perth, WA

Print_ISBN

0-7803-9132-2

Type

conf

DOI

10.1109/APCC.2005.1554173

Filename

1554173