BDS B1I multipath channel statistical model comparison between static and dynamic scenarios in dense urban canyon environment

Xin Chen,Ling Pei,Di He

doi:10.1186/s43020-020-00027-7

Xin Chen, Ling Pei + Show 1 more

Open Access

https://doi.org/10.1186/s43020-020-00027-7

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Journal: Satellite Navigation	Publication Date: Oct 26, 2020
Citations: 13	License type: open-access

Affiliation: Shanghai Jiao Tong University

Abstract

Global Navigation Satellite System (GNSS) multipath channel models are fundamental and critical for signal simulation and receiver performance evaluation. They also aid the designing of suitable multipath error mitigation algorithms when the properties of multipath channel are available. However, there is insufficient existing research on BeiDou Navigation Satellite System (BDS) signal multipath channel models. In this study, multipath channel statistical models are established on the basis of extensive datasets of the BDS B1I signal. A multipath parameter estimation algorithm is designed to extract information of multipath rays from the intermediate frequency data. The delay, power loss, Doppler fading frequency, and lifetime distribution models for static and dynamic vehicle platforms are established and compared, and the effects of the satellite orbit type and platform speed on the models are analyzed. The results reveal the detailed distribution and variation characteristics of the multipath parameters and are valuable for the development of accurate urban navigation systems.

Highlights

Multipath is a major factor that significantly impedes the performance of Global Navigation Satellite System (GNSS) receiver
Multipath is a major factor that significantly impedes the performance of GNSS receiver
Geostationary Earth Orbit (GEO) multipath has an order of 0.001 Hz fading frequency, while the Medium Earth Orbit (MEO) multipath has an order of 0.1 Hz

Summary

Introduction

Multipath is a major factor that significantly impedes the performance of GNSS receiver. In the first phase of the research campaign, IF data collections of the B1I signal for static platforms in the Shanghai-Lujiazui dense urban canyon area were performed, and the corresponding models for the delay, average power loss, and Doppler fading frequency were preliminarily established (Chen 2018; Wang et al 2018).

Results

Conclusion