Robust Capon Beamforming for Towed Array Sonar During Maneuvering

Liankun BO; Xiaoyong ZHANG; Jinyu XIONG

doi:10.11999/JEIT180022

Volume 40 Issue 10

Sep. 2018

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Liankun BO, Xiaoyong ZHANG, Jinyu XIONG. Robust Capon Beamforming for Towed Array Sonar During Maneuvering[J]. Journal of Electronics & Information Technology, 2018, 40(10): 2423-2429. doi: 10.11999/JEIT180022

Citation:

Liankun BO, Xiaoyong ZHANG, Jinyu XIONG. Robust Capon Beamforming for Towed Array Sonar During Maneuvering[J]. Journal of Electronics & Information Technology, 2018, 40(10): 2423-2429. doi: 10.11999/JEIT180022

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Robust Capon Beamforming for Towed Array Sonar During Maneuvering

doi: 10.11999/JEIT180022

Science and Technology On Blind Signal Processing Laboratory, Chengdu 610041, China

Received Date: 2018-01-09
Rev Recd Date: 2018-05-22

Available Online: 2018-07-30

Publish Date: 2018-10-01

Abstract

Abstract

The robust beamformer suffers performance degradation due to the distortion of towed array shape caused by the maneuverings of tow platform. To address this problem, a low complexity robust Capon beamforming method is proposed based on time-varying array focusing and dimension reduction. First, the array shape is estimated sequentially using the array heading data based on Water-Pulley model. The Sample Covariance Matrix (SCM) at each recording time is focused to a reference array model via the STeered Covariance Matrix (STCM) technique to eliminate the array model error. Then, the reducing transform matrix is formed based on the conjugate gradient direction vectors of the focused SCM. The reduced-dimension Capon beamformer is finally derived to calculate the spatial spectrum. The results of the simulations show that, the proposed method can improve the Signal-to-Interference-plus-Noise Ratio (SINR) of the beamforming during the maneuvering of towed array. The results of sea-trial data processing show that the proposed method can improve the output Signal-to-Noise Ratio (SNR) of the target, as well as the performance of detecting weak targets and solving the left-right ambiguity during maneuvering.
- Towed array sonar,
- Robust Capon beamformer,
- Array shape estimation,
- Krylov subspace

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References(15)

References

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