DFT-based channel estimation using CIR adaptation in OFDM systems

Chan Ho An, Seung Hun Jang, Jun Kyoung Lee, Jeong Wook Seo, Dong Ku Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

17 Citations (Scopus)

Abstract

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 the time-domain position of them. 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).

Original languageEnglish
Title of host publication9th International Conference on Advanced Communication Technology, ICACT 2007
Pages23-26
Number of pages4
DOIs
Publication statusPublished - 2007
Event9th International Conference on Advanced Communication Technology, ICACT 2007 - Gangwon-Do, Korea, Republic of
Duration: 2007 Feb 122007 Feb 14

Publication series

NameInternational Conference on Advanced Communication Technology, ICACT
Volume1
ISSN (Print)1738-9445

Other

Other9th International Conference on Advanced Communication Technology, ICACT 2007
CountryKorea, Republic of
CityGangwon-Do
Period07/2/1207/2/14

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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  • Cite this

    An, C. H., Jang, S. H., Lee, J. K., Seo, J. W., & Kim, D. K. (2007). DFT-based channel estimation using CIR adaptation in OFDM systems. In 9th International Conference on Advanced Communication Technology, ICACT 2007 (pp. 23-26). [4195075] (International Conference on Advanced Communication Technology, ICACT; Vol. 1). https://doi.org/10.1109/ICACT.2007.358252