A new adaptive model for radar and optronic trackers
Abstract
The synthesis of filters associated with target motion analyses requires the development of model designing methods. The Singer (1970) model yields an incomplete account of both the path characteristics and the laws of motion. The more systematic approach of Bozzo and Guilbert (1977) consists of fundamental choices, with respect to coordinate systems and reference systems, that are made on the basis of the knowledge of the status vector structure that is required by the position, speed, acceleration, etc., that are to be calculated, together with the closing and the control variables. This approach is justified on the basis of the results obtained for radar, IR, TV and other data with models that had in the past been intuitively determined. These models adapt their gains and noise covariances from the knowledge of the pseudoinnovation process.
- Publication:
-
IN: Identification and system parameter estimation 1982; Proceedings of the Sixth Symposium
- Pub Date:
- 1983
- Bibcode:
- 1983ispe....1..785B
- Keywords:
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- Adaptive Filters;
- Kalman Filters;
- Mathematical Models;
- Network Synthesis;
- Radar Tracking;
- Tracking Filters;
- Controllability;
- Observability (Systems);
- Optimal Control;
- Parameter Identification;
- State Vectors;
- Space Communications, Spacecraft Communications, Command and Tracking