The Accuracy of Bearing Estimates of Wideband Signals Produced by Marine Animals
Urazghildiiev, I.R., B. Martin, and D.E. Hannay
IEEE J. Ocean. Eng. 46: 1057-1067 (2021)
The problem of estimating bearings of impulsive wideband acoustic signals produced by vocalizing animals and received by a compact array of synchronized sensors is addressed. The accuracy provided by the maximum-likelihood (ML), the beamformer (BF), and the time-difference-of-arrival (TDOA) based estimators is evaluated by simulations and in situ tests and compared with the Cramér-Rao bounds. Test results demonstrated that the ML estimator and BF provided similar bearing estimation accuracy for all types of signals. They are more accurate than the TDOA-based estimator for mid- and low-frequency impulsive signals. The accuracy of the TDOA-based estimates comes close to the ML- and BF-based estimates when the signal bandwidth increases. TDOA-based estimators outperformed the BFs and the ML algorithms when estimating the bearings of clicks. The empirical standard deviations provided by the ML/BF and TDOA-based estimators were 0.2° ...3° and 2°...70° for mid- and low-frequency impulsive signals and 5.0° and 0.6° for clicks, respectively.
