基于网格密度聚类的雷达信号分选算法研究-信号与信息处理专业论文.docx

Ab Abstract 万方数据 万方数据 The Research of Radar Signal Sorting Algorithm Based on Grid-density Clustering Abstract The radar signal sorting is the must have function of the modern radar reconnaissance equipment, which is playing an important role in the ECM and ECCM. With the development of the radar counterreconnaissance technology and the constant increase of the radar radiation source signals, the number of radar signals interception of electronic reconnaissance equipment is huge and complex style. At the same time, the radar signal of the special system is increasing and the signal environment of different density of mixed overlapping, which makes the task of radar signal sorting become very difficult. The conventional radar signal sorting algorithm is difficult to meet the requirements of signal sorting today, so it is necessary to study the new pattern algorithm for radar signal sorting. Firstly, the paper introduces some classical clustering algorithms, and analyzes their advantages and disadvantages. By comparing the performances can be known that grid-density clustering algor ithm is very suitable for radar signal sorting. Therefore, in order to solve the problems that the fixed grid-density clustering has the low speed and the cluster results are imprecision, the paper proposes a radar signal sorting algorithm based on dynamic grid density clustering. In addition, in view of the conventional density-grid clustering algorithm can’t process the multi-density radar signal sorting, the paper proposes a radar signal sorting algor ithm based on multi-density of dynamic grid. The algorithm based on dynamic grid-density clustering which uses dynamic-creating grids technique to reduce greatly the number of grid partitioned in data space, adopts shifting grids to eliminate the data input reliance and uses improved double-density threshold to improve the clustering precision. The algorithm can discover cluster of various shapes without the input parameters. The simulatio