Bearings-only target motion analysis based on a multihypothesis Kalman filter and adaptive ownship motion control
Bearings-only target motion analysis based on a multihypothesis Kalman filter and adaptive ownship motion control
复制标题
DOI：
10.1049/ip-rsn:19982130
复制
发表时间：
1998-08-01
期刊：
影响因子：
--
通讯作者：
Kronhamn, TR
中科院分区：
文献类型：
--
作者：
Kronhamn, TR
提出了一种多假设卡尔曼滤波器（MHCKF），用于单运动平台纯方位目标运动分析（TMA）。还提出了一种基于从MHCKF中提取的“可用距离信息”的测量来自适应控制本船运动的方法。定性地讨论了MHCKF算法的性质，并举例说明。自适应本船运动演示和估计的范围进行了比较，从一个固定的，两条腿本船轨迹的结果。
The author presents a multihypothesis cartesian Kalman filter (MHCKF) applied to the problem of bearings-only target motion analysis (TMA) from a single moving platform. A method to adaptively control the ownship motion based on a measure of 'available range information' extracted from the MHCKF is also presented. The properties of the MHCKF algorithm are discussed qualitatively and illustrated by examples. The adaptive ownship motion is demonstrated and the estimated range is compared with the results from a fixed, two-leg ownship trajectory.