Hybrid Passive Tracking Algorithms.
TRACOR APPLIED SCIENCES AUSTIN TX
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This report is concerned with the refinement and performance evaluation of a passive hybrid tracking algorithm. It is composed of a simplified batch filter and a numerically-stable extended Kalman filter, linked together by a set of statistically meaningful switching rules. Comparisons in performance between the hybrid, Tracors MLP algorithm, and a sequential-sequential algorithm where the batch initializer is replaced with an iterated extended Kalman Filter are made using simulated data. Author
- Theoretical Mathematics
- Acoustic Detection and Detectors