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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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High-Resolution ISAR Imaging Based on Sparse Iterative Covariance-Based Estimation
Author NameAffiliationPostcode
Yong Wang* 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 150001
Rongzheng Zhang 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 150001
Abstract:
High-resolution of Inverse Synthetic Aperture Radar (ISAR) in the azimuth direction can be achieved by increasing the coherent accumulation angle of the target rotation. However, in practice, the coherent accumulation angle may be small. In this paper, a novel algorithm for high-resolution ISAR imaging based on the SParse Iterative Covariance-based Estimation (SPICE) is proposed. As a nonparametric sparse spectrum estimation algorithm, the SPICE algorithm does not need to set any parameters and it converges globally, so it can realize high quality imaging with limited measurements. In addition, a fast implementation of the SPICE algorithm based on the Gohberg-Semencul (G-S) factorization is introduced in this paper. The ISAR imaging of simulated and measured data was analyzed to illustrate the effectiveness of the novel approach.
Key words:  ISAR  high-resolution  SPICE  fast implementation
DOI:10.11916/j.issn.1005-9113.18109
Clc Number:TN957.51
Fund:

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