Motion Compensation of Synthetic Aperture Sonar Based on Inertial Measuring System

Yin Hai-ting; Liu Ji-yuan; Zhang Chun-hua

doi:10.3724/SP.J.1146.2005.00569

Volume 29 Issue 1

Jan. 2011

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Article Navigation > Journal of Electronics & Information Technology > 2007 > 29(1): 63-66

MA Qiang, DAI Jun. User Matching Method for Cross Social Networks Based on Deep Learning[J]. Journal of Electronics & Information Technology, 2023, 45(7): 2650-2658. doi: 10.11999/JEIT220702

Citation:

Yin Hai-ting, Liu Ji-yuan, Zhang Chun-hua. Motion Compensation of Synthetic Aperture Sonar Based on Inertial Measuring System[J]. Journal of Electronics & Information Technology, 2007, 29(1): 63-66. doi: 10.3724/SP.J.1146.2005.00569

MA Qiang, DAI Jun. User Matching Method for Cross Social Networks Based on Deep Learning[J]. Journal of Electronics & Information Technology, 2023, 45(7): 2650-2658. doi: 10.11999/JEIT220702

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Motion Compensation of Synthetic Aperture Sonar Based on Inertial Measuring System

doi: 10.3724/SP.J.1146.2005.00569

Received Date: 2005-05-23
Rev Recd Date: 2005-10-15
Publish Date: 2007-01-19

Abstract

Abstract

Motion compensation is very important for high resolution SAS image. In this paper , the process of motion compensation based on inertial measuring system is discussed in detail, and then an improved point-by-point compensate image algorithm based on actual azimuth track is presented, which solves the problem that the traditional point-by-point image algorithm cant use directly for motion compensation. At last, simulation and lake experiment results confirm the efficiency of the algorithm.

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