論文

査読有り
2012年4月

Sensing Methods for Detecting Analog Television Signals

IEICE transactions on communications
  • RAHMAN Mohammad Azizur
  • ,
  • SONG Chunyi
  • ,
  • HARADA Hiroshi

E95-B
4
開始ページ
1066
終了ページ
1075
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1587/transcom.e95.b.1066
出版者・発行元
The Institute of Electronics, Information and Communication Engineers

This paper introduces a unified method of spectrum sensing for all existing analog television (TV) signals including NTSC, PAL and SECAM. We propose a correlation based method (CBM) with a single reference signal for sensing any analog TV signals. In addition we also propose an improved energy detection method. The CBM approach has been implemented in a hardware prototype specially designed for participating in Singapore TV white space (WS) test trial conducted by Infocomm Development Authority (IDA) of the Singapore government. Analytical and simulation results of the CBM method will be presented in the paper, as well as hardware testing results for sensing various analog TV signals. Both AWGN and fading channels will be considered. It is shown that the theoretical results closely match with those from simulations. Sensing performance of the hardware prototype will also be presented in fading environment by using a fading simulator. We present performance of the proposed techniques in terms of probability of false alarm, probability of detection, sensing time etc. We also present a comparative study of the various techniques.

リンク情報
DOI
https://doi.org/10.1587/transcom.e95.b.1066
CiNii Articles
http://ci.nii.ac.jp/naid/10030938542
CiNii Books
http://ci.nii.ac.jp/ncid/AA10826261
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000302834100005&DestApp=WOS_CPL
URL
https://www.jstage.jst.go.jp/article/transcom/E95.B/4/E95.B_4_1066/_pdf
ID情報
  • DOI : 10.1587/transcom.e95.b.1066
  • ISSN : 0916-8516
  • eISSN : 1745-1345
  • CiNii Articles ID : 10030938542
  • CiNii Books ID : AA10826261
  • Web of Science ID : WOS:000302834100005

エクスポート
BibTeX RIS