Sensor Management Algorithm For Maneuvering Target Tracking Study

Sensor management is an important part of information fusion. It has been paid much more attention and faces new technical difficulty of maneuvering-target tracking in sensor management. This thesis focuses on sensor management for tracking maneuvering targets in order to get the effective measurement information so that target tracking can be reliably maintained. Besides this, the acquisition methods for Space Laser Communication are considered. The main contributions are as follows:1. A set of performance indexes to evaluate sensor management algorithms for multi-target tracking is put forward, which are used to compare the sensor management algorithms.2. An optimal decision model of sensor management based on information efficacy function is proposed. The optimality of the allocation algorithm based on predicting covariance is analyzed. There are many kinds of efficiency function forms in sensor management such as predicting covariance, information entropy, information gain and so on. Theoretical analysis and simulations show that they have some consistent properties.3. An algorithm based on efficiency function and interacting multiple model (IMM) is proposed for sensor management of maneuvering multi-targets. This method can adaptively change its management strategy according to target maneuvering. Hence tracking accuracy and resource cost can be effectively tradeoff. In addition, our method is simulated in tracking targets with different maneuvering level. The simulation shows the robustness of our method to target maneuvers. Besides this, our method based on multiple efficacy functions shows the consistence to the choice of efficacy functions.4. In Space Laser Communication, two traditional methods for acquisition are compared and analyzed in acquisition probability and acquisition time via parameter-to -performance figures.