International Telemetering Conference Proceedings / October 18-21, 2004 / Town & Country Resort, San Diego, California / Packetizing data for transport over a networked system corrupts embedded information such as absolute and relative timing from the data. Without this information, it is difficult to reproduce the data with its original timing restored. Absolute timing is the time between data points within a given channel of data. Relative timing is the time relationship between data points from two or more channels of data. Having this restored timing allows the use of existing equipment for analysis and eliminates the need for expensive custom designed equipment to analyze the recovered data. Using a packetizing solution that transports information about the data stream and transport packets that are broken up by system wide timing allows us to accomplish this.

International Telemetering Conference Proceedings / October 25-28, 1999 / Riviera Hotel and Convention Center, Las Vegas, Nevada / A typical telemetry system for aircraft flight-testing transmits one or several data streams to the ground for real-time display and analysis, and also records the same stream onboard for later playback. During test operations, only a fraction of the available data is used at any given time for real-time display or analysis. More efficient use of the RF channel could be realized if only the data needed for the current test point is transmitted, rather than the entirety of the data. Intelligent selection of a subset of the data stream can provide large reductions in the required telemetry downlink bandwidth. As one of the Advanced Range Telemetry (ARTM) On-Board Data Management (OBDM) initiatives, a prototype on-board data selection subsystem is being developed and demonstrated. The demonstration utilizes COTS telemetry workstations to the maximum extent possible and includes “plug-in” data requestor, selection, and server components to implement the added DML functionality. A significant objective of the OBDM/DML project will be to validate RF channel models to help minimize the amount of flight-testing necessary to validate the DML concept. This paper will discuss the OBDM/DML architecture, integration of several custom components with the COTS portions of the ARTM “test bench”, and the current status of the OBDM/DML development and test program.

International Telemetering Conference Proceedings / October 25-28, 1999 / Riviera Hotel and Convention Center, Las Vegas, Nevada / As the number of telemetry applications at sites increases, the need for a higher bandwidth link from site-to-site grows. The use of an inverse T1 multiplexer allows the site to utilize multiple T1 lines rather than more costly higher bandwidth lines. There are many advantages to using a recognized packet standard, such as IRIG-107/98, over simply routing the streams through T1 lines. One advantage is that there is a total separation of data stream clock from T1 transmission clock, reducing synchronization circuitry and overhead. Another advantage is that the use of packets also allows for a smooth reconstructed clock phase on the receiving site, creating a virtually seamless transmission of clock and data. And, finally, by using a recognized packet standard, the inverse T1 multiplexer may easily be integrated into ranging and telemetry systems already incorporating packetized telemetry. This paper will discuss the combination of packets and inverse multiplexing to achieve an expandable transmission system capable of delivering a high bandwidth data stream across multiple T1 lines.

ITC/USA 2015 Conference Proceedings / The Fifty-First Annual International Telemetering Conference and Technical Exhibition / October 26-29, 2015 / Bally's Hotel & Convention Center, Las Vegas, NV / This paper looks at the migration paradox from a holistic perspective, revisits the Smarter Antenna concept and looks for synergetic solutions. The architecture presented also builds on the momentum of the relentless migration to network technology (that has already transformed telemetry data centers) and pushes it to the vehicle. The results are reduced costs and exciting new functionality, such as better situational awareness for mission conduct and range safety. Spatial and temporal domains are harnessed as aggressively as the frequency domain to enable denser spectral utilization and other exciting benefits. Imagine a Test Range no longer reliant on tracking systems (almost)!

International Telemetering Conference Proceedings / October 25-28, 1999 / Riviera Hotel and Convention Center, Las Vegas, Nevada / As testing requirements on the ranges require ever more sophisticated cross correlation of data from multiple data acquisition sources, it becomes increasingly advantageous to collect and disseminate this information in a more network oriented fashion. This allows any of the data collected at physically separated sites to be used simultaneously at multiple mission control or data reduction centers. This paper presents an approach that maximizes the use of legacy communication paths and data reduction systems to support an evolutionary migration toward the day when testing can take full advantage of commercial communication protocols and equipment such as OC-3, ATM, etc. One key element of this approach is the packetizing of data at each reception point to provide virtual circuit switching using packet routing. Based on the newly adopted IRIG/RCC 107-98 standard, the system may even be expanded all the way back to the actual sensors. The second key element is the use of the readily available time and timing pulses based on GPS to establish a uniform sampling interval that will allow the cross correlation of data received at different points spread over a wide area.

International Telemetering Conference Proceedings / October 25-28, 1999 / Riviera Hotel and Convention Center, Las Vegas, Nevada / A digital feedback system used to monitor and control a high energy electron beam’s orbit and stability in a VUV and X-ray storage ring will realize a 10 fold increase in the feedback system response time using packetized (IRIG 107-98) telemetry. The improvement in feedback time will provide a significant improvement in the level of orbit stability. This paper discusses the advantages of using a packetizing standard and high speed data acquisition as a cost effective way to support the scientific community in their real time processing needs.

As global climate change concerns, technological advancements, and economic shifts increase the adoption of electric vehicles, it is vital to study how best to integrate these into our existing energy systems. Electric vehicles (EVs) are on track to quickly become a large factor in the energy grid. If left uncoordinated, the charging of EVs will become a burden on the grid by increasing peak demand and overloading transformers. However, with proper charging control strategies, the problems can be mitigated without the need for expensive capital investments. Distributed control methods are a powerful tool to coordinate the charging, but it will be important to assess the trade-offs between performance, information privacy, and computational speed between different control strategies. This work presents a comprehensive comparison between four distributed control algorithms simulating two case studies constrained by dynamic transformer temperature and current limits. The transformer temperature dynamics are inherently nonlinear and this implementation is contrasted with a piece-wise linear convex relaxation. The more commonly distributed control methods of Dual Decomposition and Alternating Direction Method of Multipliers (ADMM) are compared against a relatively new algorithm, Augmented Lagrangian based Alternating Direction Inexact Newton (ALADIN), as well as against a low-information packetized energy management control scheme (PEM). These algorithms are implemented with a receding horizon in two distinct case studies: a local neighborhood scenario with EVs at each network node and a hub scenario where each node represents a collection of EVs. Finally, these simulation results are compared and analyzed to assess the methods’ performance, privacy, and processing metrics for each case study as no algorithm is found to be optimal for all applications.