Title :
Track-before-detect with censored observations
Author :
Grossi, Emanuele ; Lops, Marco ; Venturino, Luca
Author_Institution :
DAEIMI, Univ. degli Studi di Cassino, Cassino, Italy
Abstract :
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.
Keywords :
measurement systems; object detection; sensors; target tracking; TBD; censored measurements; censored observations; complexity efficiency; generic sensor; moving target detection; track-before-detect algorithm; Abstracts; Trajectory; Track-before-detect (TBD); censored observation; generalized likelihood ratio test (GLRT);
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4673-0045-2
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2012.6288780