Some aspects of signal and array processing with small aperture underwater acoustic arrays

2015 ◽  
Vol 138 (3) ◽  
pp. 1735-1736
Author(s):  
Gerald L. D'Spain ◽  
Camille Pagniello
Keyword(s):  
Array Processing ◽  
Small Aperture ◽  
Underwater Acoustic ◽  
Acoustic Arrays

Detection and tracking of land vehicle activity by offshore underwater acoustic arrays

1997 ◽  
Vol 102 (5) ◽  
pp. 3193-3193
Author(s):  
Gerald L. D’Spain ◽  
Lewis P. Berger ◽  
William S. Hodgkiss ◽  
William A. Kuperman ◽  
LeRoy M. Dorman ◽  
...  
Keyword(s):  
Underwater Acoustic ◽  
Land Vehicle ◽  
Detection And Tracking ◽  
Acoustic Arrays ◽  
Vehicle Activity

The application of compressive sensing to underwater acoustic array processing and design

2013 ◽  
Vol 134 (5) ◽  
pp. 4169-4169
Author(s):  
Jeffrey S. Rogers ◽  
Charles F. Gaumond ◽  
Geoffrey F. Edelmann
Keyword(s):  
Compressive Sensing ◽  
Array Processing ◽  
Underwater Acoustic ◽  
Acoustic Array

scholarly journals Parametric Underwater Transmission Based on Pattern Time Delay Shift Coding System

2018 ◽  
Vol 2018 ◽  
pp. 1-7
Author(s):  
Yue Cheng ◽  
Anbang Zhao ◽  
Juan Hui ◽  
Tiansi An ◽  
Bin Zhou
Keyword(s):  
Time Delay ◽  
Multipath Propagation ◽  
High Rate ◽  
Theoretical Research ◽  
Coding System ◽  
Small Aperture ◽  
Underwater Acoustic ◽  
Sea Trial ◽  
Parametric Array ◽  
The Impact

The technique of pattern time delay shift coding (PDS) underwater acoustic (UWA) communication based on parametric array is presented in this paper, which is easy to be implemented and robust in the spatiotemporal variable ocean environment. The parametric array can generate low-frequency, broadband, and high-directivity beam with small-aperture. The high directivity reduces the impact of time variant characteristics of UWA channel especially multipath effects and improves the reuse rate of underwater acoustic channel at the same time. The wide bandwidth allows high rate communications. The sea trial results show that it can be employed to combat multipath propagation in shallow water and achieve very low bit error rate (BER). The theoretical research and sea trial verify the feasibility and effectiveness of the proposed UWA method.

Method for measuring the characteristics of underwater acoustic arrays in real environments

1994 ◽  
Vol 37 (1) ◽  
pp. 70-75
Author(s):  
S. V. Burenkov ◽  
N. I. Knyazeva ◽  
S. S. Naumov ◽  
E. A. Zenyutich
Keyword(s):  
Underwater Acoustic ◽  
Acoustic Arrays

Diagonal rejection-based minimum variance distortionless response for fiber underwater acoustic array

2017 ◽  
Vol 31 (19-21) ◽  
pp. 1740065
Author(s):  
Yang Chen ◽  
Ling Zou ◽  
Bin Zhou
Keyword(s):  
Covariance Matrix ◽  
Array Signal Processing ◽  
Spatial Filter ◽  
Minimum Variance ◽  
Observation Time ◽  
Small Aperture ◽  
Underwater Acoustic ◽  
Low Snr ◽  
Minimum Variance Distortionless Response ◽  
Acoustic Array

The high mounting precision of the fiber underwater acoustic array leads to an array manifold without perturbation. Besides, the targets are either static or slowly moving in azimuth in underwater acoustic array signal processing. Therefore, the covariance matrix can be estimated accurately by prolonging the observation time. However, this processing is limited to poor bearing resolution due to small aperture, low SNR and strong interferences. In this paper, diagonal rejection (DR) technology for Minimum Variance Distortionless Response (MVDR) was developed to enhance the resolution performance. The core idea of DR is rejecting the main diagonal elements of the covariance matrix to improve the output signal to interference and noise ratio (SINR). The definition of SINR here implicitly assumes independence between the spatial filter and the received observations at which the SINR is measured. The power of noise converges on the diagonal line in the covariance matrix and then it is integrated into the output beams. With the diagonal noise rejected by a factor smaller than 1, the array weights of MVDR will concentrate on interference suppression, leading to a better resolution capability. The algorithm was theoretically proved with optimal rejecting coefficient derived under both infinite and finite snapshots scenarios. Numerical simulations were conducted with an example of a linear array with eight elements half-wavelength spaced. Both resolution and Direction-of-Arrival (DOA) performances of MVDR and DR-based MVDR (DR–MVDR) were compared under different SNR and snapshot numbers. A conclusion can be drawn that with the covariance matrix accurately estimated, DR–MVDR can provide a lower sidelobe output level and a better bearing resolution capacity than MVDR without harming the DOA performance.

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