Kalman Equalization for TDS-OFDM Systems over Fast Fading Channels

Author

Gong, Guoqiang ; Ge, Wancheng

Author_Institution

Sch. of Electron. & Inf. Eng., Univ. of Tongji of China, Shanghai

fYear

2008

fDate

21-22 Dec. 2008

Firstpage

200

Lastpage

203

Abstract

By analyzing the characteristic of fast fading channels, a Kalman equalization method of directly estimating channel values in time domain is proposed based on time domain synchronization orthogonal frequency division multiplexing (TDS-OFDM) system models. The proposed algorithm is one-dimensional Kalman method and has low complexity. In addition, for tracking the time-varying channel, a minimum mean-squared error (MMSE) equalizer in time domain and a iterative decision-feedback method are also proposed. For given signal-to-noise ratios (SNRs), the simulation results show that the proposed algorithm has better performance than the other algorithms in fast fading channels.

Keywords

OFDM modulation; channel estimation; computational complexity; equalisers; fading channels; iterative methods; least mean squares methods; time-domain analysis; time-varying channels; Kalman equalization; TDS-OFDM systems; channel value estimation; fast fading channels; iterative decision-feedback method; minimum mean square error equalizer; one-dimensional Kalman method; signal-to-noise ratios; time domain synchronization orthogonal frequency division multiplexing systems; time-varying channel; Equalizers; Fading; Frequency estimation; Frequency synchronization; Iterative algorithms; Iterative methods; Kalman filters; OFDM; Time domain analysis; Time-varying channels; Kalman filter; channel estimation; orthogonal frequency division multiplexing (OFDM); time-varying channel;

fLanguage

English

Publisher

ieee

Conference_Titel

Knowledge Acquisition and Modeling Workshop, 2008. KAM Workshop 2008. IEEE International Symposium on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-3530-2

Electronic_ISBN

978-1-4244-3531-9

Type

conf

DOI

10.1109/KAMW.2008.4810460

Filename

4810460