Download Group-target Tracking by Wen-dong Geng, Yuan-qin Wang, Zheng-hong Dong, Ge Geng, Fan PDF
By Wen-dong Geng, Yuan-qin Wang, Zheng-hong Dong, Ge Geng, Fan Yang
This e-book describes grouping detection and initiation; team initiation set of rules in accordance with geometry middle; information organization and song continuity; in addition to separate-detection and state of affairs cognition for group-target. It specifies the monitoring of the objective in several amounts and densities. whilst, it integrates cognition into the application.
Group-target monitoring is designed as a e-book for advanced-level scholars and researchers within the quarter of radar structures, info fusion of multi-sensors and digital countermeasures. it's also a invaluable reference source for pros operating during this field.
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Extra resources for Group-target Tracking
Example text
For instance, radar is tracking a two-plane formation by means of group-target tracking. At a certain moment, each of the two planes fires a missile at the same time, and instantly, the number of group-target members increases from two to four. However, the radar cannot immediately distinguish returns from the two missiles. Then, the missiles leave the formation rapidly after engine ignition to attack against preset targets. In this case, the radar needs to timely capture and track the missiles while continuously tracking the plane formation.
Maneuver represents the uncertain changes in target motion, such as sudden acceleration and turning, which is one of the difficulties in target tracking research. (7) State approximation State approximation is the smoothing of the past motional state of targets, such as location, velocity, and acceleration, the filtering of the current motional state, and the prediction of the future motional state of targets. 2 Kalman Filtering Literally, filtering is to filter waves. For example, in an automatic control system, the automatic control of system is realized through the feedback of system outputs.
Thus, we need to choose an appropriate detection data window length, to timely track the practical maneuver situation of targets. Third, the transient error problem during the transition between filters for maneuver and non-maneuver. Fourth, the estimation of maneuver quantity. Currently, the least square method, self-adaptive algorithm, and the geometric method for detector and target interception figure are mainly in use. Currently, the comparatively effective method is the multi-model method, in maneuvering target tracking.