Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICCS.2006.301543
Title: An iterative channel estimator for indoor wireless OFDM systems
Authors: Wang, Z.
Mathew, G. 
Xin, Y. 
Tomisawa, M.
Issue Date: 2006
Source: Wang, Z.,Mathew, G.,Xin, Y.,Tomisawa, M. (2006). An iterative channel estimator for indoor wireless OFDM systems. 2006 IEEE Singapore International Conference on Communication Systems, ICCS 2006 : -. ScholarBank@NUS Repository. https://doi.org/10.1109/ICCS.2006.301543
Abstract: Maximum-likelihood (ML) channel estimators (MLE) used in orthogonal frequency division multiplexing (OFDM) systems are known to be of low complexity, yet with performance comparable to that of minimum mean-squared error (MMSE) estimators. Our analysis shows that the mean-squared error (MSE) of a ML estimator is linearly related to the effective length of channel impulse response, M. Tracking the variation of M is thus very important for conventional MLE. But, incorporating a run-time update of M into the ML estimator turns out to be computationally expensive. In this paper, we propose a novel channel estimation scheme which is less M-dependent. This scheme combines ML estimation and frequency-domain smoothing systematically based on a simple iterative structure. The proposed iterative estimator has shown to be robust to channel variations and has implementation complexity similar to that of conventional MLE. Numerical results are provided to show the effectiveness of the proposed estimator under time-invariant and time-variant channel conditions. © 2006 IEEE.
Source Title: 2006 IEEE Singapore International Conference on Communication Systems, ICCS 2006
URI: http://scholarbank.nus.edu.sg/handle/10635/69343
ISBN: 1424404118
DOI: 10.1109/ICCS.2006.301543
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