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Channel estimation techniques based on pilot arrangement in OFDM systems

Coleri, S., Ergen, M., Puri, A., Bahai, A.·2002·IEEE Transactions on Broadcasting

Abstract

Channel estimation techniques for OFDM systems based on a pilot arrangement are investigated. Channel estimation based on a comb type pilot arrangement is studied through different algorithms for both estimating the channel at pilot frequencies and interpolating the channel. Channel estimation at pilot frequencies is based on LS and LMS methods while channel interpolation is done using linear interpolation, second order interpolation, low-pass interpolation, spline cubic interpolation, and time domain interpolation. Time-domain interpolation is obtained by passing to the time domain by means of IDFT (inverse discrete Fourier transform), zero padding and going back to the frequency domain by DFT (discrete Fourier transform). In addition, channel estimation based on a block type pilot arrangement is performed by sending pilots in every sub-channel and using this estimation for a specific number of following symbols. We have also implemented a decision feedback equalizer for all sub-channels followed by periodic block-type pilots. We have compared the performances of all schemes by measuring bit error rates with 16QAM, QPSK, DQPSK and BPSK as modulation schemes, and multipath Rayleigh fading and AR based fading channels as channel models.

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Metadata

Authors
Coleri, S., Ergen, M., Puri, A., & Bahai, A.
Venue
IEEE Transactions on Broadcasting
Published
2002-09
Volume
48
Issue
3
Pages
223-229
ISSN
0018-9316 (ISSN-L)
OpenAlex
W2114004090
Cited by
1,615
References
0
FWCI
23.13
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Channel estimation techniques based on pilot arrangement in OFDM systems. https://app.cochat.ai/papers/10.1109/tbc.2002.804034
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Coleri, S., Ergen, M., Puri, A., & Bahai, A. (2002). Channel estimation techniques based on pilot arrangement in OFDM systems. IEEE Transactions on Broadcasting. https://doi.org/10.1109/tbc.2002.804034

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.