Radar assisted passive DF tracking
Abstract
The time history of bearing data obtained from microwave DF systems at separated sites is used to calculate the position and velocity of a microwave emitter. A Kalman filter tracking algorithm is presented and used in deriving smoothed position and velocity estimates from simulated bearing measurements received at separated DF sites. It is shown that the error statistics of the bearing measurement data can be modified; nonmaneuvering tracks are then analyzed. The inclusion of radar measurements in order to improve the tracking performance shows that care must be exercised when combining two sets of range data unless the range data is accurately modeled. The algorithm involves a foure-element polar state vector filter that is transformed to Cartesian coordinates for the linear extrapolation stage.
- Publication:
-
Radar-82
- Pub Date:
- 1982
- Bibcode:
- 1982rpi..conf..283F
- Keywords:
-
- Direction Finding;
- Kalman Filters;
- Radar Tracking;
- Tracking Filters;
- Algorithms;
- Range Errors;
- Triangulation;
- Communications and Radar