Ground Maneuvering Target Imaging and High-Order Motion Parameter Estimation Based on Second-Order Keystone and Generalized Hough-HAF Transform

Penghui Huang, Guisheng Liao, Zhiwei Yang, Xiang Gen Xia, Jingtao Ma, Jibin Zheng

Research output: Contribution to journalArticlepeer-review

94 Citations (Scopus)

Abstract

This paper proposes a new method to focus a ground moving target with complex motions and estimate its motion parameters in a synthetic aperture radar (SAR) system. In this method, the second-order Keystone transform is applied to correct the range curvature. Then, the Hough transform is applied to estimate the slope of the range walk trajectory, from which the target cross-track velocity is obtained. Finally, a generalized Hough-high-order ambiguity function (GHHAF) transform is applied to transform the target signal into a 2-D time-frequency plane and estimate its slope associated with the third-order Doppler parameter. Compared with the conventional SAR imaging methods using the second-order phase model, the proposed method can obtain better imaging quality since the third-order Doppler frequency migration is effectively eliminated. Both simulated and real data processing results are provided to validate the effectiveness of the proposed algorithm.

Original languageEnglish
Pages (from-to)320-335
Number of pages16
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume55
Issue number1
DOIs
Publication statusPublished - Jan 2017
Externally publishedYes

Keywords

  • Generalized Hough-high-order ambiguity function (GHHAF) transform
  • ground moving target imaging (GMTIm)
  • high-order motion parameter estimation
  • second-order Keystone transform (SOKT)
  • synthetic aperture radar (SAR)

Fingerprint

Dive into the research topics of 'Ground Maneuvering Target Imaging and High-Order Motion Parameter Estimation Based on Second-Order Keystone and Generalized Hough-HAF Transform'. Together they form a unique fingerprint.

Cite this