传感技术学报2012，Vol.25Issue(2)：236-239,4.DOI:10.3969/j.issn.1004-1699.2012.02.019
基于小二乘-卡尔曼滤波的wMPS系统跟踪定位算法研究
Study on Tracking Algorithm for wMPS Based on Least Square-Kalman Filter
摘要
Abstract
wMPS(workspace Measuring Position System) is a newly network-type three-dimensional measuring system based on plane intersection principal. The dynamic tracking problem was studied based on the static measurement research. In order to reduce the errors produced by movement, motion model and Kalman filter were used. The static-location of receiver was used as pseudo-observations, which was estimated by least square method, and the results were used by Kalman filter for further processing. This method avoids nonlinear errors in observation equation and the precision tracking was achieved. Compared with least square method and least square-Kalman filter method in experiments, the results show that the accuracy of least square-Kalman filter method is higher than least square method.关键词
大尺寸测量/wMPS/最小二乘/卡尔曼滤波/跟踪Key words
large-scale metrology/wMPS/least square method/Kalman filter/tracking分类
通用工业技术引用本文复制引用
端木琼,杨学友,邾继贵..基于小二乘-卡尔曼滤波的wMPS系统跟踪定位算法研究[J].传感技术学报,2012,25(2):236-239,4.基金项目
项目来源:国家自然科学基金重点项目(50735003) （50735003）
天津市科技支撑项目(08ZCGYGX11800) （08ZCGYGX11800）
