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  • 标题:A Novel TOA Estimation Algorithm Based on Kurtosis and Standard Slope in the 60GHz Sensor Network
  • 本地全文:下载
  • 作者:Xiao-Lin Liang ; College of Information Science and Engineering; Ocean University of China; Qingdao; 266100; China; 2 Department of Electrical and Computer Engineering; University of Victoria; Victoria V8W 3P6; Canada ; Ting-Ting Lu
  • 期刊名称:International Journal of Future Generation Communication and Networking
  • 印刷版ISSN:2233-7857
  • 出版年度:2016
  • 卷号:9
  • 期号:3
  • 页码:123-138
  • DOI:10.14257/ijfgcn.2016.9.3.12
  • 出版社:SERSC
  • 摘要:Accurate localization has gained significant interest in the field of sensor networks, but Time of Arrival (TOA) estimation algorithms which based coherent by Matched Filter are not practical for low cost, low complexity impulse-radio 60GHz ranging, localization and tracking systems because of the high sampling rate. In this paper, a novel TOA estimation algorithm which based on non-coherent by Energy Detection is presented where TOA is estimated via Threshold Crossing. The expected values of Standard Slope, Maximum Slope, Kurtosis and Standard Deviation with respect to the Signal to Noise Ratio (SNR) are investigated using the IEEE 802.15.3c Channel Models. It is shown that the Kurtosis and Standard Slope are more sensitive to the SNR and thus they are even much more suitable for TOA estimation. In order to improve the precision of TOA estimation based on Energy Detection, a novel TOA estimation algorithm which is based on a joint metric of the Standard Slope and Kurtosis is proposed. The best threshold values for different SNRs are investigated and the effects of integration period and channel models are examined. In comparison with other algorithms which based on Energy Detection, the results show that in both the CM1.1 and CM2.1 channels, the joint metric provides higher precision and robustness.
  • 关键词:60GHz; TOA estimation; ranging; Kurtosis; Standard Slope
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