基于CV 模型的GPS 高精度定位方法研究

洪宇; 文志信

doi:10.15892/j.cnki.djzdxb.2015.01.036

2015 , Vol. 35 >Issue 1: 143 - 146

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2015.01.036

摘要

针对在某些地区GPS卫星可见数目少,定位精度不高的现实,提出一种提高GPS定位精度的新方法。假设目标短时间内常速运动,建立多次采样下的卫星定位模型,对GPS卫星的摄动误差进行消除,并且在模型解算中引入有偏估计,以牺牲无偏性的代价有效的提高估计精度。理论分析和仿真实验表明,该方法能逼近无偏估计的克拉美罗下界,极大的减小定位误差,具有一定工程实用价值。

关键词： GPS定位; 有偏估计; 克拉美罗界; 定位精度

本文引用格式

洪宇 , 文志信 . 基于CV 模型的GPS 高精度定位方法研究[J]. 弹箭与制导学报, 2015 , 35(1) : 143 -146 . DOI: 10.15892/j.cnki.djzdxb.2015.01.036

Abstract

In some restricted area, position precision of GPS is not satisfied because the amount of visible satellites is limited. To this dilemma, a novel GPS algorithm based on constant velocity assumption proposed to improve location precision. The target assumed to move with constant velocity, so corresponding GPS positioning model derived. In order to enhance algorithm performance, a biased estimator introduced in the model computation. Theoretic analysis and simulation results verify that this estimator can greatly improve estimation precision, so it has practical values.

Key words： GPS positioning; biased estimation; Cramer-Rao bound; location precision

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