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Channel estimation techniques based on pilot arrangement in OFDM systems

  • Sinem Coleri*
  • , Mustafa Ergen
  • , Anuj Puri
  • , Ahmad Bahai
  • *Bu çalışma için yazışmadan sorumlu yazar
  • University of California at Berkeley
  • Stanford University

Araştırma sonucu: Dergiye katkıMakalebilirkişi

1425 Atıf (Scopus)

Özet

The channel estimation techniques for OFDM systems based on pilot arrangement are investigated. The channel estimation based on comb type pilot arrangement is studied through different algorithms for both estimating channel at pilot frequencies and interpolating the channel. The estimation of channel at pilot frequencies is based on LS and LMS while the 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 time domain through IDFT (Inverse Discrete Fourier Transform), zero padding and going back to frequency domain through DFT (Discrete Fourier Transform). In addition, the channel estimation based on block type pilot arrangement is performed by sending pilots at every sub-channel and using this estimation for a specific number of following symbols. We have also implemented 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 rate with 16QAM, QPSK, DQPSK and BPSK as modulation schemes, and multi-path Rayleigh fading and AR based fading channels as channel models.

Orijinal dilİngilizce
Sayfa (başlangıç-bitiş)223-229
Sayfa sayısı7
DergiIEEE Transactions on Broadcasting
Hacim48
Basın numarası3
DOI'lar
Yayın durumuYayınlandı - Eyl 2002
Harici olarak yayınlandıEvet

Finansman

Manuscript received February 19, 2002; revised June 12, 2002. This work was supported by the Office of Naval Research and National Semiconductor. S. Coleri, M. Ergen, and A. Puri are with Electrical Engineering, UC Berkeley, Berkeley, CA, USA (e-mail: {csinem; ergen; anuj}@ eecs.berkeley.edu). A. Bahai is with Electrical Engineering, Stanford University, Stanford, CA, USA (e-mail: [email protected]). Publisher Item Identifier 10.1109/TBC.2002.804034.

Finansörler
Office of Naval Research

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