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采用具有重采样、决策规则和精细捕获的两阶段过程来优化全球导航卫星系统(GNSS)接收机性能的捕获阶段。

Employing a two stage process with resampling, decision rules, and fine acquisition to optimize the acquisition stage of GNSS receiver performance.

作者信息

Bahmani K, Mosavi M R, Sdar A, Shahhoseini H Sh

机构信息

Department of Electrical Engineering, Iran University of Science and Technology, Narmak, Tehran, 16846-13114, Iran.

出版信息

Sci Rep. 2024 Sep 28;14(1):22463. doi: 10.1038/s41598-024-70507-2.

Abstract

The optimal design of Global Navigation Satellite System (GNSS) software receivers should enable the accurate estimation of the receiver's position, velocity, and time under various environmental conditions. The software receivers consist of three sections: acquisition, tracking, and navigation. This paper specifically centers on the acquisition sections of the Global Positioning System (GPS), Global Navigation Satellite System (GLONASS), BeiDou, and Galileo satellite navigation systems. The acquisition stage necessitates the prompt and precise transmission of the satellite list within the receiver's view, along with Doppler frequency estimation and phase code offset, to facilitate a seamless transition to the tracking stage with the utmost speed and accuracy. Conventional acquisition demonstrates commendable speed, but lacks accuracy, especially in environments with a low Carrier-to-Noise Ratio (CNR). Contrastingly, precise acquisition methods will impede the speed of the acquisition stage. In this paper, a novel acquisition method is proposed. By integrating concepts like resampling, two-stage acquisition, and fine-acquisition, this method enables the attainment of higher accuracy without compromising speed. The results demonstrate that the proposed method enhances accuracy by 7.275% compared to conventional methods and boosts speed by 76.97% compared to methods focused on accuracy improvement.

摘要

全球导航卫星系统(GNSS)软件接收机的优化设计应能在各种环境条件下准确估计接收机的位置、速度和时间。软件接收机由捕获、跟踪和导航三个部分组成。本文具体围绕全球定位系统(GPS)、全球导航卫星系统(GLONASS)、北斗和伽利略卫星导航系统的捕获部分展开。捕获阶段需要在接收机视野范围内迅速且精确地传输卫星列表,同时进行多普勒频率估计和相位码偏移,以便以最高速度和精度无缝过渡到跟踪阶段。传统捕获方法速度可观,但缺乏精度,尤其是在载噪比(CNR)较低的环境中。相比之下,精确的捕获方法会影响捕获阶段的速度。本文提出了一种新颖的捕获方法。通过整合重采样、两阶段捕获和精细捕获等概念,该方法能够在不影响速度的情况下实现更高的精度。结果表明,与传统方法相比,该方法的精度提高了7.275%,与专注于提高精度的方法相比,速度提高了76.97%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2834/11438839/43f50825b4b6/41598_2024_70507_Fig1_HTML.jpg

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