Research On Unknown Radar Emitter Signal Sorting Algorithm

Radar radiation signal sorting is the key technology of electronic reconnaissance processing.The effect of signal sorting directly affects the overall combat effectiveness of radar reconnaissance system.With the increasingly complex electromagnetic environment and the emergence of new system of radar,the traditional signal sorting algorithm has been unable to meet the needs of the current electronic warfare.Radar radiation source signal sorting accuracy,real-time and reliability are faced with severe challenges.In order to solve the problem that needs to be solved urgently in the research of radar signal processing,this paper makes an in-depth study on the architecture and new method of unknown radar radiation signal sorting algorithm in complex environment.The main research work of this paper is as follows: 1?The background and research status of unknown radar radiation signal sorting are introduced.The basic theory of signal environment,characteristic parameters(time domain,airspace,frequency domain)and sorting system of radar radiation signal is analyzed.This paper introduces the method of reconnaissance preprocessing based on digital channelized reconnaissance receiver system and data,and explains the new requirements of future electronic warfare on signal sorting of unknown radar radiation.2?The application of clustering algorithm in signal sorting is discussed.According to the problems faced by the actual electronic reconnaissance,based on the digital channelized receiver,the theory of the digital channelized receiver is introduced,and the simulation environment of the digital channelized receiver is constructed,and the data to be sorted is obtained.The support vector clustering,fuzzy C-means clustering algorithm and grid density clustering algorithm are used in radar pre-sorting of digital channelized receivers with higher real-time requirements.The theory of the algorithm and the optimal value of the key parameters influencing the clustering effect are analyzed.Through the actual modeling and simulation,different clustering algorithms are applied to the signal sorting,which proves the feasibility of the clustering algorithm in the field of signal sorting,and compares the advantages and disadvantages of different clustering algorithms in the signal sorting.