摘要
试飞是对导航传感器性能进行评价的有效手段。为克服仅采用单一导航传感器作为评价基准的缺陷,提出了基于数据融合技术的多导航传感器性能评价方法及其系统实现。设计的多导航传感器性能评价系统融合了卡尔曼滤波、最优固定区间平滑滤波、最小二乘加权等多导航传感器数据融合算法,在分析上述融合算法特点及使用的基础上,从信息流的角度出发,设计并实现了相应的多导航传感器性能评价系统。给出了评价系统的主要功能模块的设计与实现。还通过仿真数据对评价系统的功能和性能进行了测试,测试结果表明评价系统能准确地实现对导航传感器性能的评价。
Test-flying is a effective method to evaluate sensors＇performance. A method based on data fusion for multi - sensor＇s accuracy evaluation is proposed, which overcomes the shortcoming of using a single sensor as the evaluation criterion. The evaluation system designed in this paper contains the algorithms of Kalman filter, RTS fixed-interval smoothing, weighted least-square. Based on the analysis of these data fusion algorithms, this paper develops a multi - sensors＂ accuracy evaluation system. The design and implementation of main function modules is proposed. At last, this paper tests the evaluation system with a group simulation data. The test results shown that this system can evaluate the navigation sensors performance correctly.
出处
《航空计算技术》
2007年第1期102-105,110,共5页
Aeronautical Computing Technique
