Robust moving targets detection and velocity estimation using multi-channel and multi-look SAR images

  • Authors:
  • Shengqi Zhu;Guisheng Liao;Zhengguang Zhou;Yi Qu

  • Affiliations:
  • National Lab of Radar Signal Processing, Xidian University, Xi'an 710071, China;National Lab of Radar Signal Processing, Xidian University, Xi'an 710071, China;National Lab of Radar Signal Processing, Xidian University, Xi'an 710071, China;National Lab of Radar Signal Processing, Xidian University, Xi'an 710071, China

  • Venue:
  • Signal Processing
  • Year:
  • 2010

Quantified Score

Hi-index 0.08

Visualization

Abstract

For the sake of the robustness to ground moving targets indication (GMTI) for synthetic aperture radar (SAR) in heterogeneous environment, a new approach using multi-channel and multi-look SAR images is presented. This approach has been shown to attain improved suppression of monostatic clutter over its counterpart (the multi-channel and single-look algorithm). In this approach, the joint data vector is utilized which has robustness to image coregistration and deleterious system errors in practice. Consequently, a series of radial velocity estimation approaches are presented. The estimation accuracy can be improved by the multi-look algorithms. Experimental airborne SAR data illustrates the effectiveness of the proposed GMTI schemes. It is shown that, compared with conventional single-look algorithms, the multi-look approach can obtain better clutter cancellation performance and more accurate velocity estimation.