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Proceedings Paper

ISAR imaging based on sparse subbands fusion
Author(s): Gang Li; Biao Tian; Shiyou Xu; Zengping Chen
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Paper Abstract

Data fusion using subbands, which can obtain a higher range resolution without altering the bandwidth, hardware, and sampling rate of the radar system, has attracted more and more attention in recent years. A method of ISAR imaging based on subbands fusion and high precision parameter estimation of geometrical theory of diffraction (GTD) model is presented in this paper. To resolve the incoherence problem in subbands data, a coherent processing method is adopted. Based on an all-pole model, the phase difference of pole and scattering coefficient between each sub-band is used to effectively estimate the incoherent components. After coherent processing, the high and low frequency sub-band data can be expressed as a uniform all-pole model. The gapped-data amplitude and phase estimation (GAPES) algorithm is used to fill up the gapped band. Finally, fusion data is gained by high precision parameter estimation of GTD-all-pole model with full-band data, such as scattering center number, scattering center type and amplitude. The experimental results of simulated data show the validity of the algorithm.

Paper Details

Date Published: 17 December 2015
PDF: 8 pages
Proc. SPIE 9811, MIPPR 2015: Multispectral Image Acquisition, Processing, and Analysis, 98110D (17 December 2015); doi: 10.1117/12.2230202
Show Author Affiliations
Gang Li, National Univ. of Defense Technology (China)
Biao Tian, National Univ. of Defense Technology (China)
Shiyou Xu, National Univ. of Defense Technology (China)
Zengping Chen, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 9811:
MIPPR 2015: Multispectral Image Acquisition, Processing, and Analysis
Jinxue Wang; Zhiguo Cao; Jayaram K. Udupa; Henri Maître, Editor(s)

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