Track-before-detect with censored observations
Emanuele Grossi, Marco Lops, Luca Venturino · 2012
In this work, we consider the problem of detecting the presence of a prospective moving target from a set of censored measurements produced by a generic sensor and propose a novel track-before-detect algorithm which exploits the inherent sparse nature of the measurement data to achieve complexity efficiency. The impact of the censoring stage on the system complexity and performance is investigated.