Multi-threshold fuzzy clustering sorting algorithm

Radar signal sorting plays an important part in the electronic countermeasure field, which is used to extract and analyze parameters information of radar pulse signals. This paper introduces Multi-threshold Fuzzy Clustering Sorting Algorithm based on Fuzzy Clustering Sorting Algorithm, which focuses on the similarity of the radar pulses signal parameters to complete the process of sorting. The choice of the threshold value is the core part of the algorithm. The high threshold lets the pulses from the identical radar which have the large difference of parameter information classify the different sorts. On the contrary, the low threshold lets the pulses from the different radar units which have the similar parameter information classify the identical sort. To salve the problem that the choice of the threshold can't be decided, in the modified algorithm, the concept of using the auto-adaptive threshold to realize radar signal sorting is brought forward, which has more practical meaning. At the same time, the thought of calculating the level difference pulse signal arrival time is put forward, which is used to judge whether the radar pulses come from the same radar transmitter after the choice of threshold. When the pulses of calculating the arrival time of the level difference don't belong to the same radar signal, so feedback the threshold value immediately and reduce the threshold value automatically until the completion of the pulse radar signal sorting. This method shortens the time of the sorting process and validates the result of sorting greatly. The simulation results show the effectiveness of the algorithm.