Pulse-train based time-delay estimation improves resiliency to noise

Nicola Neretti, Nathan Intrator, Leon N. Cooper

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

Abstract

Time-delay estimation accuracy in echolocating systems decays for increasing levels of noise until a breakpoint is reached, after which accuracy deteriorates by several orders of magnitude. In this paper we present a robust fusion of time-delay estimates from multiple pings that significantly reduces the signal-to-noise ratio corresponding to the accuracy breakpoint. We further show that a simple average of the time-delay estimates does not shift the breakpoint to a lower signal-to-noise ratio. The proposed fusion of multiple pings has the potential of improving the resilience to noise of echolocating systems such as sonar, medical ultrasound and geo-seismic surveys, hence increasing their potential operating range and reducing health/environmental hazards.

Original languageEnglish
Title of host publicationMachine Learning for Signal Processing XIV - Proceedings of 2004 IEEE Signal Processing Society Workshop
EditorsA. Barros, J. Principe, J. Larsen, T. Adali, S. Douglas
Pages213-222
Number of pages10
StatePublished - 2004
Externally publishedYes
EventMachine Learning for Signal Processing XIV - Proceedings of the 2004 IEEE Signal Processing Society Workshop - Sao Luis, Brazil
Duration: 29 Sep 20041 Oct 2004

Publication series

NameMachine Learning for Signal Processing XIV - Proceedings of the 2004 IEEE Signal Processing Society Workshop

Conference

ConferenceMachine Learning for Signal Processing XIV - Proceedings of the 2004 IEEE Signal Processing Society Workshop
Country/TerritoryBrazil
CitySao Luis
Period29/09/041/10/04

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