Research On Rapid Radar Signal Sorting And Clustering Algorithm

The research on rapid radar signal sorting and clustering algorithms has always been an important research direction in the field of electronic countermeasures.It has made significant progress with the study of many scholars at home and abroad.However,with the rapid development of radar systems,the environment of radar signal sorting is becoming complicated,posing a severe challenge for radar signal sorting.The accuracy and efficiency of radar signal sorting is the key point of sorting technology.Adhering to the purpose of accuracy and efficiency,this paper focuses on the research of rapid radar signal sorting and clustering algorithms as follows:1.Describe the complex environment currently the radar signal sorting facing,and explain the effective characteristic parameters of sorting.A radar signal sorting system using effective sorting characteristic parameters in the current complex sorting environment is introduced in general,and its workflow is given.2.Compare and improve the sorting algorithm based on Pulse Repetition Interval(PRI),an important characteristic parameter,to speed up the sorting process and improve the sorting ability of the algorithm under pulse jitter.3.Aiming at the rapid changes of radar parameters and the difficulty of improving the sorting accuracy,according to the clustering algorithm,which is the key link of sorting,a multi-parameter joint clustering sorting algorithm is proposed.The algorithm has a pre-sorting module,which solves the problems of reduced accuracy and heavy calculation pressure caused by the excessive pulse density in the traditional sorting system.The algorithm includes modulation type recognition between pulse to solve the problem that radar signals with different modulation types between pulse are difficult to be sorted.The algorithm introduces Hopkins statistics as an indicator of the parameter clustering trend,and realizes automatic filtering and selection of sorting parameters.Finally,the algorithm was verified and evaluated by simulation experiments.4.Through the multi-core characteristics of DSP(Digital Signal Processor),the multi-parameter joint clustering and sorting algorithm was implemented quickly from intra-pulse analysis,parameter estimation to sorting.