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组合导航系统中自适应滤波技术的研究 被引量:2

Research on Adaptive Filtering Technique in Integrated Navigation System
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摘要 在组合导航系统中,应用常规卡尔曼滤波器(KF)要求知道系统精确的数学模型和系统噪声与量测噪声的统计特性,才能获得理想的滤波效果,否则,可能产生发散现象。人们越来越倾向于利用自适应滤波(AKF)技术来解决发散的问题。针对AKF技术的研究现状,本文探讨一种算法结构比较简单、实时性较强、工程上比较实用的在线估计量测噪声统计特性的AKF算法。仿真结果表明,这种算法具有较强自适应性,不失为一种实用而有效的滤波方法。 There are many practical problems to solve when applying normal KF(Kalman filter) in integrated navigation system, so people are paying more attention to the research of AKF(adaptive Kalman filtering)technique. In view of the present research situation of AKF technique, this paper discusses an AKF algorithm for on line estimation of the statistical feature of measurement noise, which has many advantages such as simple structure, realtime and practicable in engineering. The result of computer simulation shows that the algorithm is useful,effective and adaptive with its high effectiveness and accuracy.
出处 《中国惯性技术学报》 EI CSCD 1999年第2期26-30,共5页 Journal of Chinese Inertial Technology
关键词 组合导航系统 自适应滤波 GPS integrated navigation system adaptive filtering technique GPS
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参考文献1

  • 1崔中兴.惯性导航系统[M]国防工业出版社,1982.

同被引文献11

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