Low-latency implementation of DFT-based transform domain channel estimation system in Mobile WiMAX system

In this paper, low-latency implementation of adaptive discrete Fourier transform (DFT) based channel estimator for Mobile WiMAX system is proposed. DFT based channel estimation improve the performance by suppressing time domain noise. However, conventional method use fixed channel impulse response (...

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Bibliographic Details
Published in:	2009 9th International Symposium on Communications and Information Technology pp. 1018 - 1021
Main Authors:	Seong-Seob Shin, Seung-Yerl Lee, Kyu-Yeul Wang, Jae-Young Choi, Duck-Jin Chung
Format:	Conference Proceeding
Language:	English Japanese
Published:	IEEE 01-09-2009
Subjects:	Additive white noise AWGN Channel estimation Degradation Delay Discrete Fourier transforms Fading Gaussian noise OFDM WiMAX
Online Access:	Get full text
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Summary:	In this paper, low-latency implementation of adaptive discrete Fourier transform (DFT) based channel estimator for Mobile WiMAX system is proposed. DFT based channel estimation improve the performance by suppressing time domain noise. However, conventional method use fixed channel impulse response (CIR) length which can cause significantly performance degradation in fast fading channel. In order to overcome this disadvantage, we proposed low-latency threshold based adaptive CIR estimation scheme. The proposed architecture exploit fast Fourier transform characteristic to achieve low-latency implementation. Simulation results show that the proposed method outperforms the conventional DFT-based with low-latency implementation.
ISBN:	1424445213 9781424445219
DOI:	10.1109/ISCIT.2009.5341000