Performance evaluation of wavelet OFDM using ASCET

Keita Izumi, Daisuke Umehara, Satoshi Denno

研究成果

21 被引用数 (Scopus)

抄録

Power line communication (PLC) is one of the most attractive communication methods for in-home networks. However, the emissions of unwanted electric waves from PLC system cause harmful interference to other radio communication systems with the same frequency band. Wavelet OFDM (Orthogonal Frequency Division Multiplexing) is expected to be an efficient modulation for PLC because it can make steep and deep notch for any frequency band in the transmit signal power spectrum. However, wavelet OFDM cannot implement the equalization by guard interval (GI) like OFDM and causes performance degradation in multipath channels including power line channels. In this paper, we apply ASCET (Adaptive Sine modulated / Cosine modulated filter bank Equalizer for Transmultiplexers) to wavelet OFDM and evaluate its performance over a multipath power line channel. In particular, we propose an estimation scheme of equalizer coefficients for ASCET that the required preamble becomes short. We compare the performance of OFDM with GI to that of wavelet OFDM with ASCET over the multipath power line channel by computer simulations. As a result, we show that the proposed scheme can achieve the approximately equivalent performance of OFDM with GI by using the shorter preamble as compared to the original scheme.

本文言語English
ホスト出版物のタイトル2007 IEEE International Symposium on Power Line Communications and Its Applications, ISPLC'07
ページ246-251
ページ数6
DOI
出版ステータスPublished - 9月 26 2007
外部発表はい
イベント2007 IEEE International Symposium on Power Line Communications and Its Applications, ISPLC'07 - Pisa
継続期間: 3月 26 20073月 28 2007

出版物シリーズ

名前2007 IEEE International Symposium on Power Line Communications and Its Applications, ISPLC'07

Other

Other2007 IEEE International Symposium on Power Line Communications and Its Applications, ISPLC'07
国/地域Italy
CityPisa
Period3/26/073/28/07

ASJC Scopus subject areas

  • エネルギー工学および電力技術
  • 電子工学および電気工学

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