Title :
Robust smoothing to improve position estimates of vocalizing marine mammals
Author :
Urazghildiiev, I. ; Clark, C.W.
Author_Institution :
Bioacoustics Res. Program, Cornell Lab. of Ornithology, Ithaca, NY
Abstract :
The problem of robust smoothing of position estimates provided by passive localization methods is considered. A new robust statistic is introduced, and the smoothing algorithm is represented in the closed form. The proposed technique is based on a priori information regarding the maximum speed of the animal and the typical accuracy provided by the measuring system. The test results demonstrate that the proposed smoother provides a high degree of position estimate accuracy when more than 50% of the initial position estimates are contaminated by outliers.
Keywords :
acoustic signal processing; bioacoustics; position measurement; underwater sound; marine mammal movement; passive localization method; position estimation; smoothing algorithm; vocalizing animal position measurement; Animals; Contamination; Electric breakdown; Measurement errors; Noise robustness; Pollution measurement; Smoothing methods; Statistics; Velocity measurement; Whales;
Conference_Titel :
New Trends for Environmental Monitoring Using Passive Systems, 2008
Conference_Location :
Hyeres, French Riviera
Print_ISBN :
978-1-4244-2815-1
Electronic_ISBN :
978-1-4244-2816-8
DOI :
10.1109/PASSIVE.2008.4786993