Improved DFT-based channel estimation for OFDM systems over multipath channels

Authors:
Xiaoqing Wang;Jintao Wang;Zhaocheng Wang;Zhixing Yang;Jian Song
Affiliations:
Tsinghua University, Beijing, China;Tsinghua University, Beijing, China;Tsinghua University, Beijing, China;Tsinghua University, Beijing, China;Tsinghua University, Beijing, China
Venue:
Proceedings of the 6th International Wireless Communications and Mobile Computing Conference
Year:
2010

Citing 3
Cited 0

A pseudorandom postfix OFDM modulator - semi-blind channel estimation and equalization

IEEE Transactions on Signal Processing
Channel estimation for OFDM systems based on comb-type pilot arrangement in frequency selective fading channels

IEEE Transactions on Consumer Electronics
Channel estimation for OFDM systems with transmitter diversity in mobile wireless channels

IEEE Journal on Selected Areas in Communications

Quantified Score

Hi-index	0.00

Visualization

Abstract

To efficiently suppress the noise through a time-domain threshold value after the least square (LS) estimation, the discrete Fourier transform (DFT) based channel estimation (CE) is usually carried out in practical orthogonal frequency division multiplexing (OFDM) systems for its inherent noise immunity. In this paper, an improved DFT based CE method for OFDM systems is proposed. Taking advantage of the wavelet decomposition, the proposed method obtains an optimal threshold value according to the minimum mean-square error (MMSE) optimality criterion. Both theoretical analysis and computer simulation show that, the proposed method not only reduces the mean-square error (MSE) without MSE floor compared with the conventional methods, but also improves the symbol error rate (SER) performance by being more close to that of the ideal known-channel case over both static and dynamic multipath channels.