The Research On Radar Target Tracking Filter Algorithm

The subject of target tracking is an important aspect in radar processing. The difficult part of target tracking lies in the indetermination of target, including the maneuverability of targets and the character of multiple targets tracking. Because the motion of the target is unpredictable, the acquisition of target may be lost. To conquer this disadvantage, tracking filter algorithm has to be rectified, and then adaptive filter should be introduced.Firstly, this paper analyses the linear filters which are the basis of radar data processing, such as Kalman filter,α-βfilter,α-β-γfilter, Two-point Extrapolator filter and Linear Regression filter. And their performances should also be evaluated and compared. Then adaptive filter will be discussed in the following part, which includes adaptiveα-βfilter. These linear filters are the groundwork of radar data processing. Secondly, EKF and other non-linear filters are discussed, which are applied to many project fields according to their specific features. Thirdly, the radar data preprocessing are analyzed, including outlier eliminating, coordinate transformation, data compression The prerequisite of radar processing is the measurement preprocessing. With effective preprocessing, the data calculating task could be compressed and the tracking accuracy could be improved.Finally, the basic principle of radar maneuvering target tracking and target maneuvering model are discussed. Relating with Kalman filter, the research delves into adaptive capacity. At the same time, the author indicates and analyses an adaptive filtering algorithm using the x~2 distribution feature of filtering remnant error and anadaptive filtering algorithm based on the innovation bias. Through the simulation experiment, the excellent tracking ability of the algorithm is well demonstrated.