Title :
A federated extended Kalman filter with application to passive target tracking
Author :
Moorman, Martin J. ; Bullock, Thomas E.
Author_Institution :
Wright Lab., Eglin AFB, FL, USA
Abstract :
The problem of determining the track of a maneuvering target from passive measurements of the sensor to target line-of-sight is addressed. The standard approach to such an estimation problem, the extended Kalman filter (EKF), suffers from a range and range-rate bias that limits its usefulness. The cause of this bias has been identified as a correlation between the gain and innovations sequences that is inherent in the EKF. These previous results are presented and then a filter design is developed that reduces this unwanted effect. Simulation results reveal a performance improvement using the new filter design
Keywords :
Kalman filters; digital simulation; filtering and prediction theory; military systems; signal detection; signal processing; tracking systems; correlation; estimation; extended Kalman filter; filter design; maneuvering target; missiles; passive target tracking; performance improvement; range-rate bias; simulation; target line-of-sight; Covariance matrix; Energy measurement; Filters; Goniometers; Missiles; Nonlinear equations; Object detection; State estimation; Target tracking; Technological innovation;
Conference_Titel :
Aerospace and Electronics Conference, 1993. NAECON 1993., Proceedings of the IEEE 1993 National
Conference_Location :
Dayton, OH
Print_ISBN :
0-7803-1295-3
DOI :
10.1109/NAECON.1993.290948
