一种基于时空匹配权重的空情融合精度评估算法

精度指标是评估空情融合系统的重要指标之一,但复杂环境下融合精度评估基准的确定是困难的。本文提出一种针对空情融合系统的时空匹配权重评估算法,通过雷达探测数据精度的高低建立权重优先级,分析各雷达在融合过程中发挥主要作用的时域区间集合,构建雷达精度时间累积量,根据融合航迹积累时间自适应分配各雷达的精度权重,结合雷达探测数据的精度计算出基准精度,最后根据模糊评判的方法评估精度指标。此方法适用于仿真或动态飞行等条件下的空情融合系统精度评估,具有良好的适应性和可信性,并通过仿真示例表明其有效性。

An Evaluation Algorithm Based on Space-Time Weight Adjusting for Air-Information Fusion Precision

The precision index is one of the important indexes to evaluate the air-information fusion system,but it is difficult to determine the fusion precision evaluation benchmark in complex environment.In this paper,a space-time weight adjusting algorithm for the air-information fusion system is proposed.The weight priority is established by the level of radar detection precision,and the sets of the radars’time domain that play a dominant role in the fusion process is analyzed.The time cumulate value of radar precision is constructed.According to the time cumulate value of radar precision and fusion track,the precision weights for each radar are allocated.The reference precision is calculated by radar detection data precision.Finally,the precision index is evaluated by fuzzy evaluation method.This algorithm applies to the precision evaluation of the air-information fusion system under the static simulation or dynamic flight conditions,and has good adaptability and credibility.The simulation shows that the algorithm is effective.