DFT-based Channel Estimation Using CIR Adaptation in OFDM Systems

It is well known that discrete Fourier transform (DFT)-based channel estimators provides good performance with low complexity. Since its performance is influenced by estimated channel taps to lessen the noise effects, it is necessary to estimate the number of the channel taps and their time-domain p...

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Bibliographic Details
Published inThe 9th International Conference on Advanced Communication Technology Vol. 1; pp. 23 - 26
Main Authors Chan-Ho An, Seung-Hun Jang, Jun-Kyoung Lee, Jeong-Wook Seo, Dong-Ku Kim
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.02.2007
Subjects
Channel estimation
channel impulse response
Delay estimation
DFT-based channel estimation
Digital audio broadcasting
Digital video broadcasting
Discrete Fourier transforms
Interpolation
OFDM
scaling coefficient
threshold level
Time domain analysis
Timing
Wireless LAN
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Summary:It is well known that discrete Fourier transform (DFT)-based channel estimators provides good performance with low complexity. Since its performance is influenced by estimated channel taps to lessen the noise effects, it is necessary to estimate the number of the channel taps and their time-domain position. Therefore, this paper proposes a modified DFT-based channel estimator with channel impulse response (CIR) adaptation which can simply find the significant channel path delays. The CIR adaptation uses scaling coefficients and threshold level which are generated by Monte-Carlo simulation. Simulation results show that the proposed method has a similar performance of the frequency-domain linear minimum mean squared error (LMMSE) method. Moreover, its performance is rather better than that of the LMMSE method under symbol timing offset (STO).
ISBN:8955191316
9788955191318
ISSN:1738-9445
DOI:10.1109/ICACT.2007.358252