Conference
An adaptive early-detection ML/PDA estimator for LO targets with EO sensors
Abstract
The batch Maximum Likelihood Estimator, combined with the Probabilistic Data Association Algorithm (ML-PDA), has been shown to be effective in acquiring low observable (LO)-low SNR-non-maneuvering targets in the presence of heavy clutter. The use of signal strength or amplitude information (AI) in the ML-PDA estimator facilitates the acquisition of weak targets. In this paper we present an adaptive algorithm, which uses the ML-PDA estimator …
Authors
Chummun MR; Kirubarajan T; Bar-Shalom Y
Volume
3
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
January 1, 2000
DOI
10.1109/aero.2000.879871
Name of conference
2000 IEEE Aerospace Conference. Proceedings (Cat. No.00TH8484)
Conference proceedings
2011 Aerospace Conference
ISSN
1095-323X