Motion Compensation Algorithm of Synthetic Aperture Sonar Based on Multisensor Data Fusion

doi:10.13190/j.jbupt.2017-061

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2017, Vol. 40 ›› Issue (5): 82-86.doi: 10.13190/j.jbupt.2017-061

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Motion Compensation Algorithm of Synthetic Aperture Sonar Based on Multisensor Data Fusion

ZHANG Yu^1,2, LI Geng-xiang^1,2, ZHANG Peng-fei¹, WEI Lin-zhe¹, LIU Ji-yuan¹

1. Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China;
2. University of Chinese Academy of Sciences, Beijing 100190, China

Received:2017-04-10 Online:2017-10-28 Published:2017-11-21

Abstract

Abstract: The data from the motion measuring system is the basis to estimate the motion errors in synthetic aperture sonar. By taking advantage of the centralized Kalman filter, the optimal estimation can be realized after multisensor data fusion, which is more accurate than any raw data. The experiment results show that motion compensation with multisensor data fused can make the image radiation performance improved, energy centralized and the target focused well.

Key words: synthetic aperture sonar, data fusion, centralized Kalman filter, motion compensation

CLC Number:

U666.7

ZHANG Yu, LI Geng-xiang, ZHANG Peng-fei, WEI Lin-zhe, LIU Ji-yuan. Motion Compensation Algorithm of Synthetic Aperture Sonar Based on Multisensor Data Fusion[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2017, 40(5): 82-86.

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Motion Compensation Algorithm of Synthetic Aperture Sonar Based on Multisensor Data Fusion

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