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Remote Sens. 2017, 9(5), 470; doi:10.3390/rs9050470

A Three-Dimensional Localization Method for Multistatic SAR Based on Numerical Range-Doppler Algorithm and Entropy Minimization

School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
These authors contributed equally to this work.
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Academic Editors: Francesco Soldovieri, Raffaele Persico, Xiaofeng Li and Prasad S. Thenkabail
Received: 14 December 2016 / Revised: 5 May 2017 / Accepted: 9 May 2017 / Published: 11 May 2017
(This article belongs to the Special Issue Radar Systems for the Societal Challenges)
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Abstract

In traditional localization methods for synthetic aperture radar (SAR), the range sum estimation and Doppler centroid estimation (DCE) are required. The DCE error can influence the localization accuracy greatly. In addition, the target height information cannot be obtained by these methods. In this paper, a three-dimensional localization method for multistatic SAR based on the numerical range-Doppler (RD) algorithm and entropy minimization principle is proposed. In this method, the raw data from each transmitter and receiver (T/R) pair are focused by the numerical RD algorithm with the initial location value of the reference target. Then, Newton iteration is used to solve the target location value with the information of the bistatic range sum (BRS) in different SAR images with respect to different T/R pairs. Generally, the initial location value of the reference target is not accurate, and it can influence the imaging quality and accuracy of other target locations. We use entropy to measure image quality and iterate imaging with the new location value of the reference target, until the entropy gets the minimum value. Therefore, we can get the optimal location value of the reference target, which can make image entropy reach the minimum. Finally, all targets can be located by the Newton iteration method with their BRS in each T/R pair that are obtained from the images with minimum entropy. Compared with traditional localization methods for monostatic SAR, the proposed method not only effectively eliminates the influences of DCE errors, but also can get the target height information. Therefore, it improves the localization accuracy and can achieve three-dimensional localization. The effectiveness of the localization approach is validated by a numerical simulation experiment. View Full-Text
Keywords: multistatic SAR; Newton iteration method; entropy minimization principle; numerical range-Doppler algorithm; three-dimensional localization multistatic SAR; Newton iteration method; entropy minimization principle; numerical range-Doppler algorithm; three-dimensional localization
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Wu, J.; Xu, Y.; Zhong, X.; Sun, Z.; Yang, J. A Three-Dimensional Localization Method for Multistatic SAR Based on Numerical Range-Doppler Algorithm and Entropy Minimization. Remote Sens. 2017, 9, 470.

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