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Supervised by Ministry of Industry and Information Technology of The People''s Republic of China Sponsored by Harbin Institute of Technology Editor-in-chief Yu Zhou ISSNISSN 1005-9113 CNCN 23-1378/T

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Three-Dimensional Interferometric ISAR Sensors Imaging for the Ship Target with Two-Dimensional Sparsity
Yong Wang1,2, Xuefei Chen1,2
1.Research Institute of Electronic Engineering Technology, Harbin Institute of Technology, Harbin 150001, China;2.Key Laboratory of Marine Environmental Monitoring and Information Processing, Ministry of Industry and Information Technology, Harbin 150001, China
There are great challenges for traditional three-dimensional (3-D) interferometric inverse synthetic aperture radar (InISAR) imaging algorithms of ship targets with 2-D sparsity in actual radar imaging system. To deal with this problem, a novel 3-D InISAR imaging method is proposed in this paper. First, the high-precision gradient adaptive algorithm was adopted to reconstruct the echoes in range dimension. Then the method of minimizing the entropy of the average range profile was applied to estimate the parameters which are used to compensate translation components of the received echoes. Besides, the phase adjustment and image coregistration of the sparse echoes were achieved at the same time through the approach of the joint phase autofocus. Finally, the 3-D geometry coordinates of the ship target with 2-D sparsity were reconstructed by combining the range measurement and interferometric processing of the ISAR images. Simulation experiments were carried out to verify the practicability and effectiveness of the algorithm in the case that the received echoes are in 2-D sparsity.
Key words:  3-D InISAR  2-D sparsity  gradient adaptive algorithm  average range profile  joint phase autofocus
Clc Number:TN957.51