精密单点定位是目前G N SS精密定位领域的研究热点之一,在过去的十几年里,研究人员提出了多种精密单点定位观测模型,包括传统的非差模型、UofC模型、星间差分模型和历元差分模型。这些模型都是基于双频伪距和相位观测量,通过线性变换得...精密单点定位是目前G N SS精密定位领域的研究热点之一,在过去的十几年里,研究人员提出了多种精密单点定位观测模型,包括传统的非差模型、UofC模型、星间差分模型和历元差分模型。这些模型都是基于双频伪距和相位观测量,通过线性变换得到的。因此,从理论上说,各种模型应该等价。本文从原始观测量出发,推导了上述几种精密单点定位观测模型和随机模型,采用实测的静态和动态数据,比较了不同模型的定位精度和收敛速度。研究发现:传统非差模型在精度和收敛速度上都最好;UofC模型在精度和收敛速度上与传统模型相当,但是计算量较大;星间差分模型的定位精度与前二者相当,收敛速度慢,收敛之前定位精度较差;历元差分模型的定位效果最差,且收敛速度慢,但计算量较小。展开更多
A model of correcting the nonlinear error of photoelectric displacement sensor was established based on the least square support vector machine.The parameters of the correcting nonlinear model,such as penalty factor a...A model of correcting the nonlinear error of photoelectric displacement sensor was established based on the least square support vector machine.The parameters of the correcting nonlinear model,such as penalty factor and kernel parameter,were optimized by chaos genetic algorithm.And the nonlinear correction of photoelectric displacement sensor based on least square support vector machine was applied.The application results reveal that error of photoelectric displacement sensor is less than 1.5%,which is rather satisfactory for nonlinear correction of photoelectric displacement sensor.展开更多
文摘精密单点定位是目前G N SS精密定位领域的研究热点之一,在过去的十几年里,研究人员提出了多种精密单点定位观测模型,包括传统的非差模型、UofC模型、星间差分模型和历元差分模型。这些模型都是基于双频伪距和相位观测量,通过线性变换得到的。因此,从理论上说,各种模型应该等价。本文从原始观测量出发,推导了上述几种精密单点定位观测模型和随机模型,采用实测的静态和动态数据,比较了不同模型的定位精度和收敛速度。研究发现:传统非差模型在精度和收敛速度上都最好;UofC模型在精度和收敛速度上与传统模型相当,但是计算量较大;星间差分模型的定位精度与前二者相当,收敛速度慢,收敛之前定位精度较差;历元差分模型的定位效果最差,且收敛速度慢,但计算量较小。
基金Project(50925727) supported by the National Fund for Distinguish Young Scholars of ChinaProject(60876022) supported by the National Natural Science Foundation of China+1 种基金Project(2010FJ4141) supported by Hunan Provincial Science and Technology Foundation,ChinaProject supported by the Fund of the Key Construction Academic Subject (Optics) of Hunan Province,China
文摘A model of correcting the nonlinear error of photoelectric displacement sensor was established based on the least square support vector machine.The parameters of the correcting nonlinear model,such as penalty factor and kernel parameter,were optimized by chaos genetic algorithm.And the nonlinear correction of photoelectric displacement sensor based on least square support vector machine was applied.The application results reveal that error of photoelectric displacement sensor is less than 1.5%,which is rather satisfactory for nonlinear correction of photoelectric displacement sensor.
