BD-2/GPS组合定位算法设计及定位精度分析

Deliang Su, Wei Chen, Zilin Zhou, Hongyang Lu
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引用次数: 1

摘要

本文提出了一种基于BD/2和GPS的综合定位算法。综合算法的设计原理和数学推导是在传统GNSS系统原理的基础上发展起来的。在最小二乘算法的基础上,将加权最小二乘法和卡尔曼滤波算法应用于组合导航系统。优化后的加权最小二乘法在简化和误差分散聚集度方面具有优势。通过仿真验证了卡尔曼滤波算法能够提供比单机GNSS系统更高精度的平滑组合导航服务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of a BD-2/GPS Integrated Positioning Algorithm and Analysis of Its Positioning Accuracy
In this paper, an integrated positioning algorithm based on BD/2 and GPS is proposed. The design principle and mathematical derivation of the integrated algorithm are developed from the principle of the traditional GNSS system. On the basis of the least-squares algorithm, the weighted least-squares method and Kalman filter algorithm for the integrated navigation system were used. The optimized weighted least squares method has advantages in the respect of simplification and error scatter gather degree. Kalman filter algorithm is validated by the simulation that the proposed algorithm is able to provide a smooth integrated navigation service with higher accuracy than the stand-alone GNSS system.
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