A comparative study on the performances of the DF techniques using a single acoustic vector sensor

Abstract

Underwater acoustic vector sensors (AVS) are devices which can measure scalar pressure and three dimensional acceleration or particle velocity with only one sensor. Direction of an acoustic target can be estimated by these four measured scalar values. Techniques based on either closed-form expressions or beamforming can be carried out for direction finding by using the axial projections of the gradient vector of the pressure from the target. In this work, the performances of direction of arrival (DOA) estimation techniques for a single underwater AVS are analyzed in detail under the effects of various error sources such as imperfect projections and ambient noise.

Experimental Results for Direction of Arrival Estimation with a Single Acoustic Vector Sensor in Shallow Water

“…The performances of computationally efficient and relatively simple DOA estimation algorithms, namely, arctanbased method, intensity-based (IB) technique, time domain beamforming (TDBF), and frequency domain beamforming (FDBF), are investigated. The discussion in [21] presents a detailed theoretical comparison of these algorithms for a single AVS with error sources such as imperfect sensitivity patterns and ambient noise. In this study, the algorithms are analyzed and compared using practical measurement data obtained in our shallow water experiments at Bilkent Pond.…”

“…The objective of this study is to investigate and compare the performances of computationally efficient and relatively simple DOA estimation algorithms, namely, based method, intensity-based (IB) technique, time domain beamforming (TDBF), and frequency domain beamforming (FDBF), in a shallow water environment. These algorithms are selected according to our previous analysis [21] in which we compare the performances of DOA estimation techniques for a single underwater AVS under the effects of various error sources such as imperfect sensitivity patterns and ambient noise.…”