基于迭代最小二乘法和扩展卡尔曼滤波的IRNSS接收机位置估计

H. Varsha, S. Chougule, N. V. Vighnesam, K. Sudha
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引用次数: 0

摘要

印度区域导航卫星系统(IRNSS),也被称为NavIC-导航与印度星座提供实时定位和授时服务。NavIC接收器提供与卫星和接收器相关的信息。有多种算法可用于位置估计。本文提出了迭代最小二乘法和扩展卡尔曼滤波算法,在考虑接收机时钟偏差的情况下估计未知接收机位置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
IRNSS Receiver Position Estimation using Iterative Least Squares and Extended Kalman Filter
The Indian Regional Navigation Satellite System (IRNSS), also known as NavIC- Navigation with Indian Constellation provides real time positioning and timing services. The NavIC receivers provide information related to both satellite and receiver. There are multiple algorithms which can be used for position estimations. In this paper, Iterative Least Squares and Extended Kalman Filter algorithms are proposed to estimate the unknown receiver position by taking clock bias of the receiver into consideration.
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