Radar Target Tracking Algorithms

In many fields, like in the field of the battlefield surveillance, antiaircraft system in a war, and the civil traffic control, machine intelligence, medical equipment, target tracking is a basic or an important problem. The key of radar tracking system is design of target tracking algorithm. As its application in more fields, many new techniques are introduced to the radar target tracking for more complicated situation. While, one core part in target tracking is filtering algorithm. This dissertation studies several usually ways in filter arithmetic and advances some problems.Firstly, this dissertation summarizes the establishment of the target tracking model, and gives some of familiar maneuvering models and introduces the choice of coordinate. And then,α-βfilter arithmetic,α-β-γfilter arithmetic and improvedα-βfilter arithmetic are introduced. The principle analyzes the classical target tracking method based on kalman filter. Through a simulation, it is known that traditional kalman method is the most useful in a linear system and target tracking method based EKF performs well when tracking a target in a linear system or with small maneuver. Also, the Jacobians matrix of EKF is very hard to calculate in tracking system with multidimensional state. Secondly, the algorithm of Interacting Multiple Model (IMM) basing on kalman for the maneuvering target and its merits are mostly studied. And a new method: 2-model IMM algorithm is proposed. Through making matlab experiment, we can draw the conclusion that this algorithm obtains a better performance in target tracking. At last, we introduce other filter algorithms and summary this paper and prospect the future research directions and development trend.