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内模自适应卡尔曼滤波新方法及其在GPS信号估计中的应用

Keywords: 卡尔曼滤波器,内模,自适应滤波,全球定位系统GPS,机动目标跟踪

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Abstract:

针对混杂有确定性扰动分量的随机信号处理问题,提出一种基于内模的自适应卡尔曼滤波新方法──-内模自适应卡尔曼滤波法.首先将待估有用信号和观测数据中的确定性扰分量分别以分段正弦曲线拟合方式建立各自的内模,并将这些内模的参数作为增广状态变量形成新的非线性系统模型.然后采用迭代型推广卡尔曼滤波算法,同时实现有用信号及扰动内模参数的实时跟踪.机动目标跟踪的GPS定位信号估计应用表明,与现有方法相比新方法可显著提高定位精度.

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