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Journal of Applied Remote Sensing • Open Access • new

Parameter estimation and imaging of moving targets in bistatic synthetic aperture radar
Author(s): Yu Li; Puming Huang; Zhimei Yang; Chenchen Lin

Paper Abstract

In high-resolution bistatic synthetic aperture radar (SAR) systems, parameter estimation is essential to moving target imaging quality. However, precise parameters are difficult to obtain without priori information due to the relative along-track and across-track velocities between the moving target and platforms that change with time. A parameter estimation and imaging approach for moving targets is proposed. First, slant range and relative velocities expression are deduced based on the geometry of bistatic SAR model with one stationary configuration. Then, range curvature term are compensated skillfully by fitting the range-compressed curve in two-dimensional time domain, meanwhile, the initial estimated range walk slope can be achieved. Finally, precise Doppler centroid is estimated through searching for the maximum contrast with folding search algorithm, which is giving consideration to both searching precision and computational complexity. Thus, the proposed algorithm provides an effective way for parameter estimation and imaging of moving target without prior information and interpolation operation. Experimental results show the effectiveness of the proposed method.

Paper Details

Date Published: 16 March 2016
PDF: 10 pages
J. Appl. Remote Sens. 10(1) 015018 doi: 10.1117/1.JRS.10.015018
Published in: Journal of Applied Remote Sensing Volume 10, Issue 1
Show Author Affiliations
Yu Li, Xi'an Institute of Space Radio Technology (China)
Puming Huang, Xi'an Institute of Space Radio Technology (China)
Zhimei Yang, Xi'an Institute of Space Radio Technology (China)
Chenchen Lin, Xi’an Institute of Space Radio Technology (China)


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