DocumentCode
57271
Title
SNR Limits on Kalman Filter Detect-Then-Track
Author
Davey, Samuel J.
Author_Institution
Intell. Surveillance & Reconnaissance Div., Defence Sci. & Technol. Organ., Edinburgh, SA, Australia
Volume
20
Issue
8
fYear
2013
fDate
Aug. 2013
Firstpage
767
Lastpage
770
Abstract
In the common parlance of target tracking literature, conventional tracking refers to the sequential application of a single-frame detector to sensor data and a point-measurement association and estimation (tracking) algorithm. In contrast, Track-Before-Detect (TkBD) refers to the processing paradigm where detection and estimation are performed jointly. The TkBD literature reports significant sensitivity improvements over conventional tracking and tends to attribute this to losses at the single-frame detector. This article shows that this is not the case but rather the poor performance of conventional tracking at low signal power is more attributable to the Kalman Filter.
Keywords
Kalman filters; signal detection; target tracking; tracking filters; Kalman filter detect-then-track; SNR limits; TkBD processing paradigm; conventional tracking; estimation algorithm; point-measurement association; sensitivity improvement; sensor data; sequential application; signal power; single-frame detector; target tracking literature; Detectors; Estimation; Kalman filters; Radar tracking; Signal to noise ratio; Target tracking;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/LSP.2013.2262678
Filename
6515331
Link To Document