Research On Target Tracking And Prodiction Algorithm Of TWS Radar

Radar has been playing a very important role in both military and civilian. Target tracking and prediction is one of its must-have features. Radar system measures distance, azimuth elevation and velocity of targets by sensors, using these parameters to predict their future values. These allow radar to lock on the targets stability in any state of war, and detect targets from a large number of clutters and fixed objects in complex environments. TWS radar is a typical kind of multi-target tracking radar system, which scans with a constant rotation of mechanical antenna to realize beam research and targets tracking and is earliest known to people.Radar data preprocessing, single target tracking and prediction algorithm are mainly researched in this paper, based on TWS radar. The first two chapters present the paper's research significance and basic knowledge of radar data processing, including several models of commonly used motional objectives and common tracking filter algorithm. A combination prediction algorithm based on neural network and gray model, which is mainly used for predicting the helicopter flight path, and can quickly establish a reliable track in the case of few amount of data is presented in Chapter III. It is first introduced in Chapter IV that the common coordinate system, wild values rejecting and data compression, then proposes the Adaptive Modifiedα-β-γFilter Algorithm in spherical coordinates, based on studies and discussions of Kalman filter and its derivatives algorithm in the second chapter. This algorithm avoids the coordinate conversion, and can be used on the maneuvering target tracking with adaptive parameters. It improves the prediction accuracy while adding the correction term, comparing with the relativeα-β-γfilter algorithm. Also it is suitable for real-time computing. The fifth chapter is about simulation of the algorithm that is proposed in chapter two and four, including both MATLAB and DSP software. The author studies and simulates all the algorithms and the proposed improved algorithms for analysis, simulation results verify the conclusions very much.Finally, a summary of the full text is presented.