Ground Moving Target Detection Using Multi- Features under Antenna Array Crabbing

Abstract

This paper introduces a new moving target detection method under crabbing error due to platform motion. Two contour-based attributes known as circularity ratio and bending energy are extracted to a transformed domain of the radar samples. These features are applied to detect the target and non-linear clutter using a machine learning classifier. The effectiveness of the contour-based features is validated with simulation results.

arXiv commentThe paper is accepted in 2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/URSI)