Research On Fast Radar Emitter Signal Sorting Algorithm In Complex Environment

Radar signal sorting technology is the key technology and processing center of passive radar.The ability of signal sorting is an important sign to measure the advanced degree of information processing technology of radar reconnaissance system.As the modern battlefield environment becomes more and more complicated,the radar modulation method is varied,the signal density is doubled,the performance of the traditional signal sorting method is decreased or even sorted failure,these traditional methods based on PRI are no longer suitable for modern battlefield.In this paper,the multi-parameter sorting method is deeply researched in order to solve the problem of signal sorting in a short time.This paper introduces the composition of radar signal parameters and pulse descriptors,and studies the traditional PRI-based radar sorting methods.A new multithreshold fuzzy clustering algorithm based on fuzzy clustering algorithm is proposed to solve the problem that traditional sorting algorithms are degraded or even fail in complex environments.The multi-threshold fuzzy clustering algorithm uses a new method to calculate the similarity degree,so that the calculated values are not affected by other pulse parameters.And then use the flow type from high to low multi-threshold sorting.Similar radars are sorted by high threshold,while these radars with variable parameter are sorted by low threshold.At last,we add the characteristic analysis of arrival time difference to verify the correctness of classification,and transform the clustering method into radar emitter signal sorting algorithm.The support vector clustering algorithm consumes a large amount of time in the cluster marking process,so that the support vector clustering method can not be applied to large-scale data set analysis,he line clustering method is proposed.Line cluster method is divided into line cluster and interclass line cluster according to the distance and relative position between two data points.Fast vector clustering algorithm combined with line clustering is combined with fuzzy clustering method to classify large-scale data sets.Simulation results show that the method proposed in this paper has greatly improved the performance of radar emitter signal sorting in complex environment.