A Modified DFT-Based Channel Estimator Using Dual-Tree Complex Wavelet Denoising for OFDM Systems with Null Carriers

Abstract:

In this paper, we present a modified discrete Fourier transform (DFT)-based channel estimator for orthogonal frequency-division multiplexing (OFDM) systems with null carriers. Due to the channel leakage, the conventional DFT-based estimator has the problem of error floor. In order to suppress the leakage, we adopt the optimal leakage suppression method. Moreover, a novel denoising method based on dual-tree complex wavelet is proposed to further improve the performance. Simulation results show that the proposed channel estimator can effectively overcome the performance degradation caused by the leakage and additive-white gaussian noise (AWGN).

• Periodical: Applied Mechanics and Materials (Volumes 668-669)
• Pages: 1215-1218
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.668-669.1215
• Online since: October 2014
• Authors: Wei Cai Liu, Yuan An Liu, Kai Ming Liu, Yu Meng Guo
• Keywords: DFT-Based Channel Estimator, Dual-Tree Complex Wavelet Transform, Null Carriers, OFDM

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DOI: 10.1109/msp.2005.1550194