Sharpness applied to the adaptive beamforming of acoustic data from a towed array of unknown shape

1990 ◽  
Vol 88 (6) ◽  
pp. 2695-2701 ◽  
Author(s):  
Brian G. Ferguson
2002 ◽  
Vol 111 (5) ◽  
pp. 2405
Author(s):  
Peter Gerstoft ◽  
William S. Hodgkiss ◽  
W. A. Kuperman ◽  
Heechun Song ◽  
Martin Siderius ◽  
...  

2003 ◽  
Vol 28 (1) ◽  
pp. 44-54 ◽  
Author(s):  
P. Gerstoft ◽  
W.S. Hodgkiss ◽  
W.A. Kuperman ◽  
Heechun Song ◽  
M. Siderius ◽  
...  

1994 ◽  
Vol 95 (5) ◽  
pp. 2954-2954 ◽  
Author(s):  
J. Riley ◽  
R. C. Trider ◽  
S. Stergiopoulos ◽  
A. T. Ashley ◽  
B. G. Ferguson

2012 ◽  
Author(s):  
Zaixiao Gong ◽  
Peng Lin ◽  
Yonggang Guo ◽  
Renhe Zhang ◽  
Fenghua Li

2022 ◽  
Vol 14 (2) ◽  
pp. 304
Author(s):  
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.


1990 ◽  
Vol 51 (C2) ◽  
pp. C2-939-C2-942 ◽  
Author(s):  
N. DINER ◽  
A. WEILL ◽  
J. Y. COAIL ◽  
J. M. COUDEVILLE

Sign in / Sign up

Export Citation Format

Share Document