Abstract
In this paper, an improved azimuth angle estimation method with a single acoustic vector sensor (AVS) is proposed based on matched filtering theory. The proposed method is mainly applied in an active sonar detection system. According to the conventional passive method based on complex acoustic intensity measurement, the mathematical and physical model of this proposed method is described in detail. The computer simulation and lake experiments results indicate that this method can realize the azimuth angle estimation with high precision by using only a single AVS. Compared with the conventional method, the proposed method achieves better estimation performance. Moreover, the proposed method does not require complex operations in frequency-domain and achieves computational complexity reduction.
Highlights
Acoustic vector sensors (AVS) can measure both the acoustic pressure and acoustic particle velocity at a signal point in space, and can capture more sound field information than conventional acoustic pressure sensors [1,2]
Compared with processing only based on acoustic pressure, processing based on pressure and particle velocity can achieve better detection effectiveness and higher estimation precision [11]
This paper focuses on the signal processing on the active detection system
Summary
Acoustic vector sensors (AVS) can measure both the acoustic pressure and acoustic particle velocity at a signal point in space, and can capture more sound field information than conventional acoustic pressure sensors [1,2]. Research on the AVS signal processing methods is of great engineering and practical significance. With the continuous development of underwater acoustic technology, sonar array systems and the underwater acoustic array signal processing have attracted increasing research attention. In [1], the measurement model of an AVS array for estimation issues is presented in detail. Both conventional and minimum variance beamforming methods for DOA estimation by using AVS arrays are introduced in [12]
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