Iterative receiver with soft‐input‐based‐channel estimation for orthogonal frequency division multiplexing‐interleave division multiple access systems. Issue 14 (1st September 2014)

• Record Type: Journal Article
• Authors: Oyerinde, Olutayo O.; Mneney, Stanley H.
• Is Part Of: IET communications. Volume 8:Issue 14(2014)
• Page Start: 2445
• Page End: 2457
• Publication Date: 2014-09-01
• Subjects: iterative decoding -- channel estimation -- OFDM modulation -- mean square error methods -- least mean squares methods -- receivers; iterative receiver -- soft input based channel estimation -- orthogonal frequency division multiplexing interleave division multiple access systems -- OFDM‐IDMA systems -- channel estimation methods -- decoder -- channel estimation process -- iterative based sequential linear minimum mean square error -- ISLMMSE -- channel transfer function -- CTFestimation -- variable step size normalised least mean square -- ℓ1‐VSSNLMS algorithm -- channel impulse response -- CIR prediction -- multiuser detector -- MUD -- soft information feedback; Telecommunication systems -- Periodicals; Speech processing systems -- Periodicals; 621.38205
• DOI: 10.1049/iet-com.2013.1171
• Languages: English
• ISSNs: 1751-8628

Abstract

Abstract : This article presents two sets of channel estimation methods that employ soft input from the decoder to enhance channel estimation process for orthogonal frequency division multiplexing ‐interleave division multiple access (OFDM‐IDMA) system. The first channel estimation scheme exploits both time and frequency domains for channel estimation and prediction. The estimator exploits turbo principle while using iterative based sequential linear minimum mean square error (ISLMMSE) for channel transfer function (CTF) estimation, and regularised variable step size normalised least mean square (ℓ1 ‐VSSNLMS) algorithm for channel impulse response (CIR) prediction. The channel estimation scheme exchanges information with the Multi‐User Detector (MUD), and also employs soft information feedback from the decoder for the enhancement of channel estimation. The second iterative channel estimation scheme, in time domain, is based on regularised noise power estimate‐based variable forgetting factor recursive least square (ℓ1 ‐NPEVFF‐RLS)‐based CIR estimator. The performances of the proposed estimators are documented through computer simulation. Their comparative performances with other schemes in the literature are presented in this article. From the simulation results, the two proposed channel estimators exhibit better performance in comparison with other schemes in the literature, but with higher computational complexities. However, of the two proposed methods, the ℓ1 ‐NPEVFF‐RLS‐based CIR estimator that exhibits almost the same performance as the combined ISLMMSE‐based CTF estimator and ℓ1 ‐VSSNLMS‐based predictor exhibits lower computational complexity.