Related Experiment Video
Updated: Jan 4, 2026

06:01
Semi-Automated Analysis of Peak Amplitude and Latency for Auditory Brainstem Response Waveforms Using R
Published on: December 9, 2022
2.8K
Time of arrival difference estimation for narrow band high frequency echolocation clicks.
Douglas Gillespie1, Jamie Macaulay1
1Sea Mammal Research Unit, Scottish Oceans Institute, University of St Andrews, St Andrews, KY16 8LB, Scotlanddg50@st-andrews.ac.uk, jdjm@st-andrews.ac.uk.
The Journal of the Acoustical Society of America
|November 2, 2019
Summary
Accurate Harbor Porpoise echolocation click timing is crucial. New algorithms reduce arrival time errors caused by spatial aliasing, improving bioacoustics research.
Area of Science:
- Bioacoustics
- Marine Mammal Research
- Signal Processing
Background:
- Harbor Porpoise echolocation clicks are high-frequency signals used for navigation and foraging.
- Accurate estimation of time of arrival differences (TDOA) is essential for localization.
- Spatial aliasing with closely spaced hydrophones can introduce significant errors in TDOA measurements.
Purpose of the Study:
- To develop and present algorithms for accurate TDOA estimation of Harbor Porpoise echolocation clicks.
- To investigate the impact of spatial aliasing on TDOA accuracy at different sampling rates.
- To propose methods for mitigating errors in TDOA estimation.
Main Methods:
- Development of algorithms for cross-correlation analysis of echolocation click signals.
- Simulation and analysis of TDOA errors under conditions of spatial aliasing.
- Implementation of data up-sampling and parabolic interpolation techniques.
- Evaluation of error reduction for signals with signal-to-noise ratio (SNR) > 10 dB.
Main Results:
- Spatial aliasing can lead to incorrect peak selection in cross-correlation functions, causing large TDOA errors.
- At sampling rates less than approximately 6 times the fundamental frequency, incorrect peak selection occurs in 55% of measurements.
- Up-sampling and parabolic interpolation significantly reduce TDOA errors by over two orders of magnitude for clicks with SNR > 10 dB.
Conclusions:
- The presented algorithms effectively mitigate TDOA errors in Harbor Porpoise echolocation data caused by spatial aliasing.
- Accurate TDOA estimation is achievable even with closely spaced hydrophones through advanced signal processing techniques.
- These findings enhance the reliability of passive acoustic monitoring for marine mammal research.

