Abstract
The article focuses on the problem of 2-D (two-dimensional) DOA (Direction of Arrival) estimation of a single source in the scenario of far-field using a single vector hydrophone which comprises three orthogonal velocity-sensors plus one spatially co-located pressure sensor. In this proposed approach, a temporal invariance is formed via two time-delayed data sets collected from a vector hydrophone, and the ESPRIT (Estimation of Signal Parameters via Rotational Invariance Techniques) is utilized to estimate the DOA. A sliding method is proposed to process data collected by a single vector hydrophone in a period of time so that the motion trajectory of the target can be determined. Both the theoretical analysis and the results of computer simulation demonstrate that the algorithm is an effective 2-D DOA estimation approach.
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Acknowledgments
This work is supported by the National Natural Science Foundation of China (No. 61601209) and the Fundamental Research Project of the National University of Defense Technology (No. ZDYYJCYJ20140701).
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Ge, L., Xu, K., Wan, J., Chen, Y. (2019). A Sliding Approach of 2-D DOA Estimation for Single Vector Hydrophone. In: Liang, Q., Mu, J., Jia, M., Wang, W., Feng, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2017. Lecture Notes in Electrical Engineering, vol 463. Springer, Singapore. https://doi.org/10.1007/978-981-10-6571-2_315
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DOI: https://doi.org/10.1007/978-981-10-6571-2_315
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