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

Ahmed, R, Deng, H. (2023). Ground Moving Target Detection Using Multi-Features under Antenna Array Crabbing . 2015 IEEE INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION & USNC/URSI NATIONAL RADIO SCIENCE MEETING, 2023-July 899-900. 10.1109/USNC-URSI52151.2023.10238105

cited authors

  • Ahmed, R; Deng, H

authors

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.

publication date

  • January 1, 2023

published in

start page

  • 899

end page

  • 900

volume

  • 2023-July