The problem of tracking a number of time-varying slow-moving targets in the presence of clutter and false alarms is particularly challenging for the ground moving target indication (GMTI) application. It requires adaptive clutter cancellation techniques such as space-time adaptive processing to deal with the mainbeam clutter. In addition, GMTI radars are also used for generating synthetic aperture radar (SAR) imagery. In this paper, we analysis the performance of the joint probabilistic data association (JPDA) filter for varying coherent processing intervals (CPI) by using experimental airborne radar data with a view towards a more efficient use of GMTI and SAR modes of an airborne AESA radar.

Date Published: 22 May 2015
PDF: 10 pages
Proc. SPIE 9474, Signal Processing, Sensor/Information Fusion, and Target Recognition XXIV, 947402 (22 May 2015); doi: 10.1117/12.2179287

Published in SPIE Proceedings Vol. 9474:
Signal Processing, Sensor/Information Fusion, and Target Recognition XXIV
Ivan Kadar, Editor(s)