Passive Single Station Targeting Follow-up Study

Passive localization and tracking system works silently without electromagnetic radiation, just gets electromagnetic radiation passively. Positon and movement state information can be confirmed by measured parameter. So the survival capability of system can be guaranteed, the electronic reconnaissance get strong and covering larger region. It also can recognize target admirably. Localization needs to know positon from fixed target and tracking still must get other information such as velocity, acceleration etc. besides with positon.According to the structure of the system, there are multiple observer system and single observer system. Traditionally, multiple observer system needs large numbers of data transmission and synchronization among the observers. The data also needs to be fused, which makes the system complicated and get shortages in the independence and maneuverability. But the single observer can avoid these troubles.In this dissertation, several technology problems of passive localization and tracking are discussed. They are basic theory, single maneuvering target tracking and multiple targets tracking.In Chapter 1, passive localization and tracking technology is briefly introduced. Then some chief tracking principles have been discussed as well as the single maneuvering target.In Chapter 2,the basic knowledge about passive localization and tracking should has been discussed, such as model, principle and filter algorithm.Single maneuvering target is the emphasis of the dissertation, so s few kinds of models are analyzed here. Because of the validity, the self- adaptive filter become more and more popular, there are three types of self-adaptive filter algorithm.In Chapter 4, it is about single maneuvering target"current"statistical mean and variance self-adaptive filter algorithm. Its advantage is the maneuvering detection and delay caused by detection can be avoided. The estimation precision is excellent. After studying the tracking principle, the UKF filter equation is given step by step, many useful conclusion and result prove the validity of simulation. In Chapter 5, it is algorithm and simulation of multi-targets tracking. The data association is very important. Here the NN principle has been used in the Monte Carlo simulation for its efficiency and simpleness. But sure it has limit in the multi-echo situation, NN principle couldn't identify target and miss targets. So it should be improved and more useful principles are expected.