Iterative frequency offset estimation based on singular value decomposition

Masataka Hasebe, Satoshi Denno, Shigeru Tomisato, Masaharu Hata

研究成果

3 被引用数 (Scopus)

抄録

This paper proposes an iterative frequency offset estimation based on singular value decomposition (SVD). The proposed technique achieves high resolution estimation of frequency offset even in the presence of strong co-channel and inter-symbol interference. Moreover, the proposed technique can estimate large frequency offset, e.g., ΔfT = 12.8 with high precision. The proposed technique comprises two new ideas. One is frequency offset estimation by using SVD and an adaptive filter. The other is iteration of the above frequency offset estimation followed by a frequency offset reduction. The iteration of the frequency offset estimation improves the estimation performance. In fact, it is evaluated by computer simulation that estimate the frequency offset normalized by a symbol duration, ΔfT = 12.8, in wireless sensor networks with direct sequence spread spectrum (DS-SS).

本文言語English
ホスト出版物のタイトルISPACS 2013 - 2013 International Symposium on Intelligent Signal Processing and Communication Systems
ページ125-130
ページ数6
DOI
出版ステータスPublished - 12月 1 2013
イベント2013 21st International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2013 - Naha, Okinawa
継続期間: 11月 12 201311月 15 2013

出版物シリーズ

名前ISPACS 2013 - 2013 International Symposium on Intelligent Signal Processing and Communication Systems

Other

Other2013 21st International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2013
国/地域Japan
CityNaha, Okinawa
Period11/12/1311/15/13

ASJC Scopus subject areas

  • 人工知能
  • 信号処理

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