A Maneuvering Target Tracking Filter Algorithm And Its Application

In both military and civilian fields, for instance, in air defense and in air traffic control, we all need tracking targets in a reliable and accurate mode. And along with the rapid development of the aerospace technology, all flight vehicles speed and maneuverability are higher and higher. How to enhance the performance of tracking high speed and highly maneuvering targets has become more and more important.The maneuvering target can worse the performance of the tracking systems, because of the complexity, the randomness and the multiplicity of maneuvering, it's a challengeable problem to track maneuvering targets, which has both theoretically and practically technical difficulties.At first, this paper introduces the development history and the research status of the problem of tracking maneuvering targets, mostly introduces the interacting multiple model (IMM) algorithm. A few extensively used maneuvering models is introduced, such as constant velocity(CV) model, constant acceleration(CA) model, Singer model, "current" statistical model and two-stage filter model, and discusses every model's state function and parameters. Then, we discus the algorithm of adaptive filter. The principle and design procedure of two types of algorithm are introduced in details. Meanwhile, the implement methods are proposed.This paper proposes two kinds of target tracking algorithm. And based on the two algorithms above, a new modified IMM algorithm is proposed, the simulation results indicate, this algorithm obtains a better performance in tracking targets.At last, we summary this paper and prospect the future research directions and development trend.