The performance of time reversal passive detection over underwater multi-path channel

Fu Zhou Yang, Hai Yan Wang, Xiao Hong Shen, Wan Zheng Ning

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

Present a mathematical study of time reversal passive performance over multi-path channel as signal propagation underwater. The study starts with statistical theory due to signal detection, followed by basic dualism hypothesis and the performance of underwater multi-path propagation through passive time reversal is derived. Under a constant false-alarm probability, the relations between detect probability and different signal-to-noise ratio as well as several multi-path amount are deduced in details. The conclusions include two points: performance becomes better as signal-to-noise ratio increasing that can be expected; meanwhile multi-path amount plays the same role as signal-to-noise ratio, the more multi-path amount the better performance. Time-frequency signal detection method based on passive time reversal is simulated simultaneously. The result shows that time reversal is able to self-adaptively modify signal distortion account for multi-path channel, especially for low signal-to-noise ratio such as that bellows zero.

Original languageEnglish
Title of host publication2011 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2011
DOIs
StatePublished - 2011
Event2011 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2011 - Xi'an, China
Duration: 14 Sep 201116 Sep 2011

Publication series

Name2011 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2011

Conference

Conference2011 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2011
Country/TerritoryChina
CityXi'an
Period14/09/1116/09/11

Keywords

  • multi-path channel
  • passive time reversal
  • signal-to-noise ratio
  • statistical theory

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