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Journal of Applied Remote Sensing • Open Access • new

Inverse synthetic aperture radar imaging of targets with complex motion based on the local polynomial ambiguity function
Author(s): Qian Lv; Tao Su; Jibin Zheng

Paper Abstract

In inverse synthetic aperture radar (ISAR) imaging of targets with complex motion, the azimuth echoes have to be modeled as multicomponent cubic phase signals (CPSs) after motion compensation. For the CPS model, the chirp rate and the quadratic chirp rate deteriorate the ISAR image quality due to the Doppler frequency shift; thus, an effective parameter estimation algorithm is required. This paper focuses on a parameter estimation algorithm for multicomponent CPSs based on the local polynomial ambiguity function (LPAF), which is simple and can be easily implemented via the complex multiplication and fast Fourier transform. Compared with the existing parameter estimation algorithm for CPS, the proposed algorithm can achieve a better compromise between performance and computational complexity. Then, the high-quality ISAR image can be obtained by the proposed LPAF-based ISAR imaging algorithm. The results of the simulated data demonstrate the effectiveness of the proposed algorithm.

Paper Details

Date Published: 18 March 2016
PDF: 17 pages
J. Appl. Remote Sens. 10(1) 015019 doi: 10.1117/1.JRS.10.015019
Published in: Journal of Applied Remote Sensing Volume 10, Issue 1
Show Author Affiliations
Qian Lv, Xidian Univ. (China)
Tao Su, Xidian Univ. (China)
Jibin Zheng, Xidian Univ. (China)


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