Time-Frequency Peak Filtering Versus Kalman Filter in the Kinematic Trajectory Estimation

被引：0

作者：

Mikluc, Davorin ^{[1
]}

Andric, Milenko ^{[1
]}

机构：

[1] Univ Def, Mil Acad, Dept Mil Elect Engn, Belgrade, Serbia

来源：

PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON 2018 NEW TRENDS IN SIGNAL PROCESSING (NTSP) | 2018年

关键词：

Time-frequency peak filtering; Kalman filter; trajectory estimation;

D O I：

暂无

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

The kinematic trajectory of point targets with time-frequency peak filtering and Kalman filtering has been used in this paper. The comparison of the named filters is done on position estimation of several characteristic generated trajectories. Firstly, the error estimation of a point target trajectory was analysed in one dimension and then in the plane. The criterion of a root mean square error is used to compare the estimation results of the used filters. It is shown that time-frequency peak filtering can be used in the trajectory estimation in various velocity values as well as in different variances of Gaussian noise.

引用

页码：111 / 117

页数：7

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