A Nonlinear Data-Driven Towed Array Shape Estimation Method Using Passive Underwater Acoustic Data
A Nonlinear Data-Driven Towed Array Shape Estimation Method Using Passive Underwater Acoustic Data
复制标题
利用被动水声数据的非线性数据驱动拖曳阵列形状估计方法
DOI：
10.3390/rs14020304
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发表时间：
2022-01
期刊：
影响因子：
5
通讯作者：
Youhai Xu
中科院分区：
文献类型：
--
作者：
Qisong Wu;Youhai Xu
Large-aperture towed linear hydrophone array has been widely used for beamforming-based signal enhancement in passive sonar systems; however, its performance can drastically decrease due to the array distortion caused by rapid tactical maneuvers of the towed platform, oceanic currents, hydrodynamic effects, etc. In this paper, an enhanced data-driven shape array estimation scheme is provided in the passive underwater acoustic data, and a novel nonlinear outlier-robust particle filter (ORPF) method is proposed to acquire enhanced estimates of time delays in the presence of distorted hydrophone array. A conventional beamforming technique based on a hypothetical array is first used, and the detection of the narrow-band components is sequentially carried out so that the corresponding amplitudes and phases at these narrow-band components can be acquired. We convert the towed array estimation problem into a nonlinear discrete-time filtering problem with the joint estimates of amplitudes and time-delay differences, and then propose the ORPF method to acquire enhanced estimates of the time delays by exploiting the underlying properties of slowly changing time-delay differences across sensors. The proposed scheme fully exploits directional radiated noise targets as sources of opportunity for online array shape estimation, and thus it requires neither the number nor direction of sources to be known in advance. Both simulations and real experimental data show the effectiveness of the proposed method.
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影响因子：
4.1
作者：
E. C. V. Ballegooijen;G. V. Mierlo;C. V. Schooneveld;P. Zalm;A. T. Parsons;N. H. Field
通讯作者：
E. C. V. Ballegooijen;G. V. Mierlo;C. V. Schooneveld;P. Zalm;A. T. Parsons;N. H. Field
影响因子：
4.1
作者：
J. L. Odom;J. Krolik
通讯作者：
J. L. Odom;J. Krolik
DOI：
10.1109/icra.2011.5979605
发表时间：
2011-05
期刊：
2011 IEEE International Conference on Robotics and Automation
影响因子：
--
作者：
Gabriel Agamennoni;Juan I. Nieto;E. Nebot
通讯作者：
Gabriel Agamennoni;Juan I. Nieto;E. Nebot
DOI：
10.1109/29.45542
发表时间：
1988-04
期刊：
ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing
影响因子：
--
作者：
A. Weiss;B. Friedlander
通讯作者：
A. Weiss;B. Friedlander
DOI：
10.1109/icassp.2007.366943
发表时间：
2007-06
期刊：
2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07
影响因子：
--
作者：
T. Shinozaki;Mari Ostendorf
通讯作者：
T. Shinozaki;Mari Ostendorf