基于最近邻聚类分析的多站遥测数据融合方法

摘要

为研究多测站遥测数据智能对接方法，提供高质量全弹道遥测数据，利用多传感器信息融合技术，采用最近邻聚类分析算法实现目标识别级多测站遥测数据融合。以某次试验5个测站的遥测数据为例进行了仿真测试，测试结果表明：该方法能从多个测站中遴选出最优遥测数据帧，经整合重组后实现多测站原始遥测数据融合，有效剔除非正常跟踪遥测数据，提高了数据处理效率和质量。%To study the multi-station telemetry data automated-docking method to provide the high-quality whole-ballistic telemetry data ,the multi-sensor information fusion technology was used ,and the target rec-ognition level multi-station telemetry data-fusion was realized by adopting nearest-neighbor clustering algorithm.Taking the telemetry data of five stations in an experiment for instance , the simulation was carried out .The tests show that the optimal telemetry data frame can be effectively selected from multiple stations by this method .The multi-station telemetry data fusion can be achieved by the integration and re-structuring ,and the abnormal tracking telemetry data is effectively eliminated , and the efficiency of data processing and quality can be improved .