Estimating Optimal Tracking Filter Performance for Manned Maneuvering Targets 论文

详细信息

发表期刊/会议

IEEE Transactions on Aerospace and Electronic Systems

发表日期

1970-07-01

发表年份

1970

摘要

The majority of tactical weapons systems require that manned maneuverable vehicles, such as aircraft, ships, and submarines, be tracked accurately. An optimal Kalman filter has been derived for this purpose using a target model that is simple to implement and that represents closely the motions of maneuvering targets. Using this filter, parametric tracking accuracy data have been generated as a function of target maneuver characteristics, sensor observation noise, and data rate and that permits rapid a priori estimates of tracking performance to be made when maneuvering targets are to be tracked by sensors providing any combination of range, bearing, and elevation measurements.