Comparison of parametric sparse recovery methods for ISAR image formation |
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| Authors: | RAO Wei LI Gang WANG XiQin XIA XiangGen |
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| Affiliation: | [1]Department of Electronic Engineering, Tsinghua University, Beijing 100084, China; [2]Department of Electrical and Computer Engineering, University of Delaware, Newark, DE 19716, USA; [3]Department of Electronic Engineering, Chonbuk National University, Jeonju, South Korea |
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| Abstract: | A parametric sparse representation model of the inverse synthetic aperture radar(ISAR)signal has been proposed recently,and the ISAR signal is decomposed as a summation of many basis-signals determined by the target rotation rate.Based on the parametric sparse representation model,several sparsity-driven algorithms are proposed to retrieve both the target rotation rate and the ISAR image.In this paper,four parametric sparse recovery algorithms are compared mainly in three aspects:the accuracy of the rotation rate estimation,the ISAR image quality and the computational load.Numerical examples are presented to show the advantages and disadvantages for each method. |
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| Keywords: | ISAR imaging parametric sparse representation adaptive sparse recovery matching pursuit |
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