Normal-Mode Based MUSIC for Bearing Estimation in Shallow Water Using Acoustic Vector Sensors
Weiwei Ai, Jinyu Xiong, Xiaoyong Zhang
Available Online August 2016.
- https://doi.org/10.2991/icmeit-16.2016.19How to use a DOI?
- Acoustic vector sensor array, Normal-Mode based MUSIC, Shallow ocean, Unbiased bearing estimates.
- To realize unbiased bearing estimates of multiple acoustic sources in a range-independent shallow water, Normal-Mode based MUSIC (NM-MUSIC) method using acoustic vector sensor (AVS) array is proposed in this paper. Comparing to NM-MUSIC method based on scalar array, the method based on AVS array solves the problem of port and starboard ambiguity, and also breaks through the limitation of half wavelength. Meanwhile, the method realizes unbiased bearing estimates, while most of the conventional Direction of Arrival (DOA) methods result in biased bearing estimates in shallow water. Simulation results show that the performance of the new method proposed is better than that of the original method.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Weiwei Ai AU - Jinyu Xiong AU - Xiaoyong Zhang PY - 2016/08 DA - 2016/08 TI - Normal-Mode Based MUSIC for Bearing Estimation in Shallow Water Using Acoustic Vector Sensors BT - 2016 International Conference on Mechatronics Engineering and Information Technology PB - Atlantis Press SP - 104 EP - 109 SN - 2352-5401 UR - https://doi.org/10.2991/icmeit-16.2016.19 DO - https://doi.org/10.2991/icmeit-16.2016.19 ID - Ai2016/08 ER -