Theoretical and Experimental Multi-Sensor Signal Detection in Time Spreading Distortion Underwater Channels

Rami Rashid, Erjian Zhang, Ali Abdi, Zoi Heleni Michalopoulou

Research output: Chapter in Book/Report/Conference proceedingConference contribution


A signal in shallow water environments typically undergoes distortion caused by time spreading, which refers to receiving multiple copies of the signal at different times due to signal propagation through multiple paths. This distortion makes signal detection a challenging task. In this paper, we present a systematic framework for signal detection in time-spreading distortion underwater channels using multiple sensors. Using Monte Carlo simulations as well as experimental data collected at hydrophones, the performance of the detector is evaluated. Our results quantify the effect of the number of correlators per sensor on the detection performance, as well as the improvement obtained by using multiple sensors in time-spreading distortion underwater channels.

Original languageEnglish (US)
Title of host publicationOCEANS 2022 Hampton Roads
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665468091
StatePublished - 2022
Event2022 OCEANS Hampton Roads, OCEANS 2022 - Hampton Roads, United States
Duration: Oct 17 2022Oct 20 2022

Publication series

NameOceans Conference Record (IEEE)
ISSN (Print)0197-7385


Conference2022 OCEANS Hampton Roads, OCEANS 2022
Country/TerritoryUnited States
CityHampton Roads

All Science Journal Classification (ASJC) codes

  • Oceanography
  • Ocean Engineering


  • Multipath channels
  • Multiple sensors
  • Signal detection
  • Time dispersion
  • Underwater channels


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