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
fDate :
Sept. 29 2004-Oct. 1 2004
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;
Conference_Titel :
Machine Learning for Signal Processing, 2004. Proceedings of the 2004 14th IEEE Signal Processing Society Workshop
Conference_Location :
Sao Luis
Print_ISBN :
0-7803-8608-4
DOI :
10.1109/MLSP.2004.1422976