ČSN EN 16803-4

Detailinformationen

Bezeichnung: ČSN EN 16803-4

Ausgabedatum: 01.05.2025

Seiten: 116

Land: Tschechische technische Norm

Wo ist es zu kaufen?

Erhältlich auf www.technormen.de

Annotation

This document is mainly addressed to GNSS-specialized laboratories, in charge of creating reference test scenarios that will be replayed by other users such as generalist RF lab. It is a fundamental key-point to be able to deliver homogenous test scenarios. Indeed, in the context of GNSS receiver certification, the process itself is independent from the laboratory which designed and made the scenario. In other words, the conformity level of any GNSS-based positioning terminal (GBPT) is the same whatever the specific scenario used. Using a specific urban scenario from a GNSS-specialized laboratory A leads to the same conclusion as using another specific urban scenario from a GNSS-specialized laboratory B. This is really the aim of this document: giving requirements and guidelines to all GNSS-specialized laboratories in order to make inter-operable test scenarios.
It will thus provide requirements and guidelines on the following topics:
- what technical documentations are required to design test scenarios (Clause 4) through:
- technical documentation for "R&R",
- list of documents to produce for simulation scenario;
- how to collect data in order to build test scenarios (Clause 5) through:
- identification of the technical documentation,
- requirements for human resources,
- requirements for tests platform,
- requirement for RTMeS,
- requirement for GNSS signals digitization,
- requirements for GNSS constellations simulator,
- requirements for benchmark GNSS receiver,
- requirement for GBPT embedded,
- requirements for other sensors;
- how to validate data - after a data collection- in order to be sure of it (Clause 6) through:
- validation of the field test,
- validation of data for reference trajectory,
- validation of digitized GNSS signals,
- validation of SENSORS inertial measurements,
- validation of corrections data (NRTK, PPP.),
- characterization of the scenario