Concept of a Multi-Receiver-Vector Tracking Algorithm Within a Gnss Network

This paper deals with the concept of a GNSS monitoring network, which fulfills requirements in relation to sustainability, cost efficiency and flexibility. For the proposed approach, the hardware of the GNSS monitoring stations should be reduced to a minimum. Therefore, Remote Radio Head sensors or especially RF Front-Ends, which are already used in the field of GNSS, should be used. In this concept, GNSS network stations are equipped with an antenna, an RF Front-End, and hardware for data transfer (raw I&Q samples) to a central processing facility. The idea is to realize a collaborative processing of all receivers with a Multi-Receiver-Vector Tracking (MRVT) algorithm in one single Software-Defined GNSS receiver (SDR).

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Publication Details

Published
2025-03-26
DOI
https://doi.org/10.3390/engproc2025088020
Primary Topic
Target Tracking and Data Fusion in Sensor Networks
Type
article
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article

Concept of a Multi-Receiver-Vector Tracking Algorithm Within a Gnss Network

Philipp Berglez, Stefan Laller
Target Tracking and Data Fusion in Sensor Networks
article

Concept of a Multi-Receiver-Vector Tracking Algorithm Within a Gnss Network

Philipp Berglez, Stefan Laller
article en

Abstract

This paper deals with the concept of a GNSS monitoring network, which fulfills requirements in relation to sustainability, cost efficiency and flexibility. For the proposed approach, the hardware of the GNSS monitoring stations should be reduced to a minimum. Therefore, Remote Radio Head sensors or especially RF Front-Ends, which are already used in the field of GNSS, should be used. In this concept, GNSS network stations are equipped with an antenna, an RF Front-End, and hardware for data transfer (raw I&Q samples) to a central processing facility. The idea is to realize a collaborative processing of all receivers with a Multi-Receiver-Vector Tracking (MRVT) algorithm in one single Software-Defined GNSS receiver (SDR).

Graz University of Technology (AT)
Openalex Percentile: Top 97%
Target Tracking and Data Fusion in Sensor Networks
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