Pappas J.,Zodiac Data Systems |
Bago B.,Zodiac Data Systems GmbH |
Cranley N.,Zodiac Data Systems SAS |
Poisson G.,Zodiac Data Systems SAS
Proceedings of the International Telemetering Conference | Year: 2013
Since both airborne and ground applications are able to handle and process IRIG 106, Chapter 10 standard data (further referred to as C10) from files or from live streaming UDP network data, it is a logical extension of the standard to telemeter network data from the air to the ground support systems with little or no modification. This paper describes a method to transport C10 compliant packets over a Class II, telemetry stream (C10 TMDL) which is fully compatible with existing encryptors, transmitters, receivers, and decryptors.
Faber M.,Zodiac Data Systems GmbH
Proceedings of the International Telemetering Conference | Year: 2015
One of the requirements resulting from mounting pressure on flight test schedules is the reduction of time needed for data analysis, in pursuit of shorter test cycles. This requirement has ramifications such as the demand for record and processing of not just raw measurement data but also of data converted to engineering units in real time, as well as for an optimized use of the bandwidth available for telemetry downlink and ultimately for shortening the duration of procedures intended to disseminate pre-selected recorded data among different analysis groups on ground. A promising way to successfully address these needs consists in implementing more CPUintelligence and processing power directly on the on-board flight test equipment. This provides the ability to process complex data in real time. For instance, data acquired at different hardware interfaces (which may be compliant with different standards) can be directly converted to more easy-to-handle engineering units. This leads to a faster extraction and analysis of the actual data contents of the on-board signals and busses. Another central goal is the efficient use of the available bandwidth for telemetry. Real-time data reduction via intelligent filtering is one approach to achieve this challenging objective. The data filtering process should be performed simultaneously on an all-data-capture recording and the user should be able to easily select the interesting data without building PCM formats on board nor to carry out decommutation on ground. This data selection should be as easy as possible for the user, and the on-board FTI devices should generate a seamless and transparent data transmission, making a quick data analysis viable. On-board data processing and filtering has the potential to become the future main path to handle the challenge of FTI data acquisition and analysis in a more comfortable and effective way.