针对目标跟踪问题,提出了一种新的解耦无偏转换测量自适应滤波器

M. Dahmani, A. Meche, M. Keche, A. Ouamri
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引用次数: 1

摘要

利用极坐标雷达测量在直角坐标修复中跟踪目标,通常需要将测量值从极坐标坐标系转换为直角坐标坐标系。在大跨距目标跟踪中,经典的转换方法变得不一致,因而存在不足。在本文中,我们提出了一种新的解耦跟踪滤波器,它在自适应αβ滤波器中使用无偏转换测量值。该滤波器被命名为解耦无偏转换测量自适应αβ滤波器(UCMAαβF),在具有与无偏转换测量卡尔曼滤波器(UCMKF)相似的性能的同时,在实时应用中更容易实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new Decoupled Unbiased Converted Measurement Adaptive alpha-beta Filter developed for target tracking
Tracking a target in a Cartesian repair with polar radar measurements usually involves transformation of the measurements from a polar coordinate frame to a Cartesian coordinate one. In a large cross-range target tracking, the classical conversion method becomes inconsistent and is therefore inadequate. In this paper we propose a new decoupled tracking filter that uses Unbiased Converted Measurements within an adaptive αβ filter. The proposed filter, named the Decoupled Unbiased Converted Measurements Adaptive αβ Filter (UCMAαβF), while having a performance similar to that of the Unbiased Converted Measurements Kalman Filter (UCMKF), has the advantage to be simpler to implement for real time applications.
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