A multitarget range-azimuth tracker for maritime applications
Francesco Bandiera, Marco Del Coco, Giuseppe Ricci · 2013
In this paper, we focus on the design of a Kalman filter-based algorithm to track multiple targets in range and azimuth. The detection stage implements a multitarget strategy and is aimed at collecting and eventually processing all target components (i.e., in range and azimuth). Existing tracks are updated using a JPDA to handle the data association problem. We model target echoes as coherent pulse trains in white Gaussian noise with unknown power. The performance analysis assumes a maritime scenario and shows that the proposed tracker outperforms more conventional approaches.