DETECTING MULTIPATH EFFECTS ON SMARTPHONE GNSS MEASUREMENTS USING CMCD AND ELEVATION-DEPENDENT SNR SELECTION TECHNIQUE

Q2 Environmental Science

ISPRS Annals of the Photogrammetry Remote Sensing and Spatial Information Sciences Pub Date : 2023-01-14 DOI:10.5194/isprs-annals-x-4-w1-2022-595-2023

Samin Nasr-Azadani, M.Mahdi, Harald Schuh

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引用次数: 2

Abstract

Abstract. Regarding increasing smartphone receivers' usage in science and industry, they must improve their positioning algorithms to increase positioning accuracy and location-based software's productivity. For this goal, various studies have been presented to remove or adjust the errors in the GNSS signal received by smartphones. Nevertheless, so far, no study has been conducted to investigate the effect of the multipath effect on smartphone observations. Various algorithms have been performed to study the effect of multipath, from detecting and removing this effect by correcting errors in the signal processing step to weighting the measurements to reduce the effect of multipath on the observations in the positioning step.In this article, an attempt has been made to compare the results of two different algorithms, CMCD and Selection Signal, based on SNR elevation-dependent in detecting the effect of multipath on smartphones to check their performance for detecting measurements contaminated with multipath.

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利用CMCD和仰角相关信噪比选择技术检测智能手机GNSS测量中的多径效应

摘要为了增加智能手机接收器在科学和工业中的使用，他们必须改进他们的定位算法，以提高定位精度和基于位置的软件的生产力。为此，人们提出了各种研究来消除或调整智能手机接收到的GNSS信号中的误差。然而，到目前为止，还没有研究调查多路径效应对智能手机观察的影响。从在信号处理步骤中通过校正误差来检测和消除多径影响，到在定位步骤中对测量值进行加权以减少多径对观测值的影响，已经使用了各种算法来研究多径的影响。在这篇文章中，我们试图比较两种不同算法的结果，CMCD和选择信号，基于信噪比高度依赖检测多路径对智能手机的影响，以检查它们检测受多路径污染的测量的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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