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弹道学报  2015 

基于SNVA的机动目标状态估计

Keywords: 机动目标,当前统计模型,扩展卡尔曼滤波,状态估计

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Abstract:

利用位置预测估计值与位置滤波估计值之间的偏差进行加速度方差自适应调节,提出一种基于状态噪声方差自适应(SNVA)的机动目标状态估计方法。采用SNVA对目标加速度噪声方差进行自适应调整,实现了对当前统计模型的改进;利用扩展卡尔曼滤波算法对目标状态进行估计。仿真结果表明,基于SNVA的扩展卡尔曼滤波算法对机动目标速度估计的绝对误差小于0.1m/s,加速度估计的绝对误差小于0.1m/s2,能够对机动目标的状态进行准确的估计。

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