Research On The Realization Method Of Primary Radar Plots Centroid In Air Traffic Radar

The actual research shows that no matter what kind of signal processing method is used,the final amount of radar trace data input is still considerable.If the trace data is not processed and directly uploaded to the terminal,the huge amount of computation will bring difficulties to the follow-up track tracking.Plot centroid processing technology can significantly reduce the amount of data and reduce the pressure of subsequent data processing.In the traditional plot centroid method,the distance dimension and azimuth dimension are usually considered separately,which leads to secondary splitting,and the traditional method is not suitable for abnormal target plots.In view of the above shortcomings,this paper makes a systematic research on the plot aggregation algorithm based on cluster analysis.In this paper,several classical clustering algorithms are discussed,their advantages and disadvantages are summarized and analyzed,and combined with the distribution characteristics of radar plot data,the MATLAB simulation tool is used to compare and analyze,and the DBSCAN clustering algorithm which is more suitable for radar plot centroid is introduced to distinguish the target points.Considering the chance of manual selection of parameters in DBSCAN algorithm,this paper improves the DBSCAN algorithm and uses iterative method to realize the adaptive selection of parameters.The simulation results show that the ideal condensation effect can be obtained by the plot centroid processing based on DBSCAN algorithm.It overcomes the shortcomings of the traditional plot centroid algorithm,and can distinguish and merge the plot clusters of arbitrary shape.In addition,based on an air traffic control radar signal processing hardware experimental platform,the overall system design scheme is discussed in detail,including hardware framework,system function design and parallel program design.Combined with TMS320C6678 multi-core DSP,the engineering implementation of the plot centroid method described in this paper is completed.In view of the large amount of computation and high storage requirements in the implementation process,the methods to reduce the time complexity and space complexity in the engineering implementation are given.At the end of the paper,with the help of the data collected by the airport,the agglomeration algorithm described in this paper is used to process and analyze the measured data,which proves the practicability of this algorithm.