Research On Maneuvering Target Tracking Based On Imm And Multiple Passive Sensors

Passive sensors do not transmit signals but depend on the reception of the target signals to track, which is more covert and secure, thus making it valuable in research and attracting widespread attention. As to maneuvering target, we can’t precisely predict its next motion and a single model cannot fully describes a complex motion process, making tracking more difficult. IMM considers several models at a time and has a broader coverage and excellent performance on maneuvering target tracking. Thus, In this thesis IMM is applied to passive target tacking. The main works are summarized as follow:1. This thesis analyzes the basic model of passive tracking and introduces the state equation and measurement equation modeling. Several common tracking algorithms with their respective merits and demerits and the usage condition are given. This thesis also presents some target motion models with their respective state equation modeling.2. This thesis researches the interacting multiple model algorithm and passive target tracking based on it. The basic principle and implementation steps of IMM are introduced in details. Then, IMM is applied to track slow and fast maneuvering target over the sea, which obtains better effect than traditional single model algorithm. Considering that the model set matters, reasonable mode sets are designed to fit slow and fast maneuvering targets. As to the maneuver time constant in the “current” statistical model, a better way to take value than fixed is put forward. In this method, the value of the maneuver time constant follows the change of the best model last time. And it has better adaptability when target motion changes frequently between strong and weak maneuver.3.Multi-source information fusion system based on the interacting multiple model algorithm is researched and its model is introduced. Passive tracking module based on IMM, which is one of most important module in the system, is proposed and built. Meanwhile, this thesis analyses several factors which have an influence on location in the system. Flow charts and block diagrams are presented to describe track management, which contains track initiation and track maintenance. At last, a few simulation results obtained from the multi-source information fusion system prove that the system works well.