Research On Multi-target Tracking Algorithm For Airborne Radar

Multi-target tracking is one of the most popular research subjects in the world because of its prominent position and broad application in both military and civilian fields.Considering the irreconcilable contradiction between real-time ability and accuracy of multi-target tracking,this thesis based on airborne radar trys to make some targeted attempts and explorations in the maneuvering target tracking and target tracking in complex background,and strives to meet the needs of practical application.The main contents are as follows:For maneuvering target tracking,a maneuvering detection filtering algorithm based on Kalman filtering algorithm is proposed.The algorithm sets the maneuver detection threshold by using the idea of the sliding window method for track initiation,judges whether the maneuver occurs by observing the change trend of the velocity residuals,and adjusts the gain matrix accordingly.Using Kalman filtering algorithm and this modified algorithm for several maneuvering cases of single target,simulation results show that this proposed algorithm maintains a similar computing complexity to Kalman filtering algorithm,in the meanwhile,it significantly enhances the tracking accuracy,effectively improves the filtering performance in the initial stage and the maneuver stage of tracking,and inhibites the phenomenon called filter divergence to some extent.For the target tracking in complex background,a modified probability data association algorithm is proposed.The algorithm differentiates the false alarms which come from the clutter and other targets,and reduces the weight of the common candidate echoes.In this algorithm,confirmation matrix is introduced while feasible matrices are avoided.Using probability data association algorithm,joint probability data association algorithm and this modified algorithm for different relative motion of two nearby targets,simulation results show that this modified algorithm maintains a similar computing complexity to probability data association algorithm,at the same time,it effectively reduces the error of target tracking in complex background,clearly improves the performance of data association,and overcomes the problem of “combined explosion” with the increase of the number of target traces and target dots.For airborne radar target tracking,the influence of various parameter errors including coordinate errors of motion carrier,attitude errors of motion carrier and target observation errors on the tracking performance during coordinate transformation is analyzed in the simulation.Tracking performance in different filtering coordinate systems including body cartesian coordinate,hybrid coordinate,geographic coordinate and earth based coordinate is analyzed in the simulation as well.And then the selection of tracking coordinate system is discussed,and the superior performance of hybrid coordinate is vertified.Finally,the method of carrier motion compensation is presented.