• DocumentCode
    3077778
  • Title

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

  • Author

    Neretti, Nicola ; Intrator, Nathan ; Cooper, Leon N.

  • Author_Institution
    Inst. for Brain & Neural Syst., Brown Univ., Providence, RI
  • fYear
    2004
  • fDate
    Sept. 29 2004-Oct. 1 2004
  • Firstpage
    213
  • Lastpage
    222
  • 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
  • Keywords
    delay estimation; signal processing; accuracy breakpoint; echolocating systems; environmental hazard reduction; geo-seismic surveys; health hazard reduction; medical ultrasound; multiple pings; noise resiliency; pulse-train based time-delay estimation; robust fusion; signal-to-noise ratio reduction; Acoustic noise; Bandwidth; Context modeling; Delay; Equations; Frequency estimation; Matched filters; Noise level; Noise robustness; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning for Signal Processing, 2004. Proceedings of the 2004 14th IEEE Signal Processing Society Workshop
  • Conference_Location
    Sao Luis
  • ISSN
    1551-2541
  • Print_ISBN
    0-7803-8608-4
  • Type

    conf

  • DOI
    10.1109/MLSP.2004.1422976
  • Filename
    1422976