α-β滤波器的基本问题分析及仿真研究
发布时间：2019-08-08 11:49
【摘要】：针对α-β滤波器滤波增益随采样时刻的增加而减小的问题,提出了一种根据位置滤波平均误差、速率滤波平均误差以及速度滤波效果确定滤波增益下降截止时刻的方法,并分析了可能影响滤波增益下降截止时刻的因素。仿真结果表明:通过该方法确定的滤波增益下降截止时刻可以使α-β滤波器的滤波效果达到最佳;滤波增益下降截止时刻与目标采样间隔的相关性最强,与过程噪声的相关性次之,与量测噪声的相关性最弱。
[Abstract]:In order to solve the problem that the filtering gain of 伪-尾 filter decreases with the increase of sampling time, a method is proposed to determine the cutoff time of filtering gain decline according to the average error of position filtering, the average error of rate filtering and the effect of velocity filtering, and the factors that may affect the cutoff time of filter gain decline are analyzed. The simulation results show that the filter gain drop cutoff time determined by this method can make the filtering effect of 伪-尾 filter reach the best, and the filter gain decline cutoff time has the strongest correlation with the target sampling interval, the second correlation with process noise, and the weakest correlation with measurement noise.
【作者单位】： 海军航空工程学院电子信息工程系;
【分类号】：TN713
，
本文编号：2524348
[Abstract]:In order to solve the problem that the filtering gain of 伪-尾 filter decreases with the increase of sampling time, a method is proposed to determine the cutoff time of filtering gain decline according to the average error of position filtering, the average error of rate filtering and the effect of velocity filtering, and the factors that may affect the cutoff time of filter gain decline are analyzed. The simulation results show that the filter gain drop cutoff time determined by this method can make the filtering effect of 伪-尾 filter reach the best, and the filter gain decline cutoff time has the strongest correlation with the target sampling interval, the second correlation with process noise, and the weakest correlation with measurement noise.
【作者单位】： 海军航空工程学院电子信息工程系;
【分类号】：TN713
，
本文编号：2524348
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