基于数据链的战斗机引导误差矢量分析及处理

Error Analysis and Filtering in Fighter Leading Based on Intra-Flight Data Link

根据美军提出的机间数据链支持下的先进战斗机静默攻击方式,对基于数据链的战斗机引导进行了研究。主要分析了战斗机引导误差来源,对引导误差的产生过程进行了矢量描述,推导出引导误差矢量方程。为减小误差,提高战斗机静默攻击方式下对目标的跟踪精度,提出基于"当前"加速度模型的自适应卡尔曼滤波改进算法,对战斗机接收到的数据链信息进行滤波,估计目标当前信息。通过仿真表明,滤波算法有效地减小了基于数据链的目标信息随机误差,可以将定位几何精度提高到245 m以内,充分说明了静默攻击方式的可行性。

According to the requirement of silence attack mode based on intra-flight data link, we studied fighter leading error based on data link. The sources of leading error were analyzed, the error generating process was described, and the vector equation of the leading error was built up. In order to decrease the error and enhance the precision of target tracking under silence attacking mode, an algorithm of adaptive Kalman filter was put forward on the basis of ＂current＂ acceleration model. By using the algorithm, the information received by the fighter from data link was filtered, and the current information was estimated. Simulation showed that the random error of information from data link could be filtered out effectively, and the locating geometric accuracy could reach 245 m. The result validated the feasibility of silence attacking.