Now showing items 1-20 of 5123

    • International Telemetering Conference Proceedings, Volume 57 (2022)

      International Foundation for Telemetering, 2022-10
    • Solving Parameter Management with Modern Processes

      Ferrill, Micah; Lowe, Daniel; Ferrill, J. Paul; Avionics Test and Analysis Corporation (ATAC) (International Foundation for Telemetering, 2022-10)
      The Parameter Management Tool solves the problem of Interface Control Document (ICD) tracking and versioning as well as providing a single source of truth for parameter definitions and automated, modular, and extensible conversion between different ICD formats. Built on open-source technologies like Python, Vue.js, and Docker, the Parameter Management Tool (PMT) can be deployed on bare-metal Linux or Windows as well as running in a cloud-native environment such as Kubernetes. PMT is a component of the Next-Gen Data Center under development by the 412 TW at Edwards AFB.
    • OPAL: Leveraging Open Source

      Ogden, Eddge; Call, Kenneth; Myers, Isaac J.; Ma, Zayd L.; Lowe, Daniel; 309th SWEG; Air Force Materiel Command Hill AFB, UT; Avionics Test and Analysis Corporation (International Foundation for Telemetering, 2022-10)
      The current explosion of test and evaluation data being collected from various systems has exposed a strong need for low-cost digital infrastructure to facilitate scalable analytics across all available data. Private industry and academic research have built such systems utilizing Open-Source Software (OSS) with tremendous success. The 309th Software Egineering Group (SWEG) developed OPAL (Open Platform for Advanced Learning) platform is a government owned and developed solution to address this gap and provide data discovery, analytics, and warehousing all license free. OPAL leverages best-in-breed Open-Source Software including JupyterLab (Python analysis environment), MinIO (S3-compliant, redundant and object-versioning data backend), Postgres (Data cataloging), and Dask (scalable compute), among others. In addition to Open-Source tooling, custom integration and software piping are used to further lower the analysts’ barrier to available data: custom Chapter 10 parsing and translating at high speed (10GB/min) into Apache Parquet format, a web-based data catalog for discovery, and lightweight arbitrary object storage organization. This paper will delineate design choices, our DevOps paradigm, benchmarking numbers, and results against a publicly available commercial flight dataset.
    • Advanced Multi-Variate Time Series Analytic Techniques (Attends)

      Lau, Richard; Bagchi, Anindo; Shen, John; Triolo, Tony; Sanchez, Kenneth; Yao, Lihan; Kovarskiy, Jacob; Castro, Roberto; Peraton Labs, Test Resources Management Center (International Foundation for Telemetering, 2022-10)
      We describe an advanced architecture supporting fast decisions by using multi-variate time series analytic techniques on voluminous datasets that were previously inaccessible. The system, Advanced Multi-Variate Time Series Analytic Techniques (ATTENDS) automates data ingestion, knowledge extraction, and Artificial Intelligence/Machine Learning (AI/ML) algorithm configuration for anomaly detection, failure prediction, causal analysis, and diagnosis. To enable reusability, ATTENDS presents a set of Application Programming Interfaces (API) to support user configurability and remote invocation. The APIs implement state-of-the art AI/ML algorithms for predictive maintenance, sensor component correlation for problem diagnosis, and unsupervised learning of sensor measurement anomaly for support of automated testing and evaluation. We will present two use cases including prediction of Remaining Useful Life (RUL) of Turbofan [1] and sensor diagnosis and recommendation for maintenance actions, as well as detection and quantification of target location error in an airborne platform.
    • LTE/Wi-Fi Coexistence on a Flexible Software Defined Radio Testbed

      Gonzalez, Virgilio; Elahi, Mirza M.; Valdez, Kevin J.; Gonzalez, Virgilio; Computational Science Program, The University of Texas at El Paso; Department of Electrical and Computer Engineering, The University of Texas at El Paso (International Foundation for Telemetering, 2022-10)
      The rapid rise in usage of mobile devices have not shown any signs of flattening or slowing down. Some efforts in the standardization bodies are underway to define new ways to boost data rate, network capacity and lower the latency by enhancing existing 4G technologies and by incorporating new technologies in 5G. Since lower spectrum has fewer resources, the LTE of unlicensed spectrum LTE-U is being proposed to extend LTE to unlicensed spectrum. Streaming data traffic for licensed spectrum on LTE-U can improve the performance of the system significantly. In this paper LTE-U deployment by the LAA is implemented using the LBT mechanism on a flexible SDR testbed.
    • Optimizing PCM Bandwidth Usage in Flight Test by Real-Time Data Analysis During Flight

      Quinn, Patrick; Aerospace Instrumentation, Curtiss-Wright (International Foundation for Telemetering, 2022-10)
      There is an ever-increasing demand for more data to be captured during flight test applications, placing more demand on the limited bandwidth available for PCM data transmission. Some strategies can help, such as performing analysis on the platform itself. For example, by performing Fast Fourier Transform (FFT) analysis in the air and sending just the results down over PCM in real-time, the PCM bandwidth usage can be optimized, saving the users time and reducing the overall cost of ownership. This paper discusses data analysis methods, specifically FFT analysis on accelerometer data in real-time during flight, that can be used without additional flight test instrumentation hardware onboard the aircraft.
    • Combined Tone Cancellation and Clipping Technique for Reducing the Peak to Average Power Ratio in OFDM

      Dean, Richard; Dugda, Mulugeta; Moazzami, Farzad; Musa, Jokotogun; Morgan State University (International Foundation for Telemetering, 2022-10)
      In this paper, two major attractive effective reduction strategies, the tone cancellation and clipping technique, we propose to combined to reduce peak-to-average (PAPR) in OFDM. We propose that tone cancellation and clipping technique for reducing the PAPR, PTS performs better than other conventional methods. We review prior work from [11,12] with analytical results showing that the proposed schemes can achieve significant reduction in computational complexity while keeping good PAPR reduction. Results of simulations show almost the same PAPR reduction performance as compared with the genetic algorithm-based TR method which has been known to have the best performance and obtains using the tone cancellation through clipping technique for reducing the PAPR. This motivates us to combine these two methods as they address independent features and we can expect a combined method would be better that either one.
    • The Application of AOFDM for Power Efficiency

      Dean, Richard; Moazzami, Farzad; Dugda, Mulugeta; Jukotogun, Musa; Department of Electrical and Computer Engineering, Morgan State University (International Foundation for Telemetering, 2022-10)
      This paper presents the test results of an Adaptive Orthogonal Frequency Division Multiplexing (AOFDM) modulation system for the improvement of Power Efficiency on the radio link. This work develops a framework that includes Power Efficiency and Spectrum Efficiency bounds, and combines this with Spectrum Usage and Delay constraints on the radio link. It further develops a strategy for improving the Power Efficiency subject to constraints on delay and radio link Signal to Noise ratio (SNR) conditions.
    • Reducing Aircraft Downtime for Airborne Instrumentation

      Cast, Paul; Eglin AFB (International Foundation for Telemetering, 2022-10)
    • The BYU Mars Rover and the 2022 University Rover Challenge

      Killpack, Marc; Stone, Austin; Bronson, Dinah; Wonnacot, Alex; Cordon, Dallin; Holland, Michael; Department of Mechanical Engineering, Brigham Young University (International Foundation for Telemetering, 2022-10)
      Our team designed, developed, and implemented a rover capable of autonomous and manual remote operation for the purpose of competing in the University Rover Challenge (URC). In this paper, we present and discuss the critical role that telemetry systems play in facilitating communication between sensors onboard the rover and the base-station computer. The rover features multiple sub-systems such as a science module, cameras, and other components that utilize various modern communication techniques to enable a fully functional system.
    • Educational Telemetry System for Drones

      Tezza, Dante; Abbott, Ben; Jennings, Darian; Sandoval, Gabriela; Webb, Nicole; Department of Engineering, St. Mary’s University (International Foundation for Telemetering, 2022-10)
      Undergraduate students have developed the Drone Data Communication System (DDCS). This application supports telemetry and command control for St. Mary’s University’s Unmanned Aerial Systems Laboratory. The scalable implementation derives many features from documented military and commercial telemetry solutions but also expands to include additional features needed to support its educational and research missions.
    • Kubesat Ground Station: Test and Operations

      Ewing, Mark; Prinsloo, Arno; Kaundinya, Shravan; Rhodes, Zach; McDowell, Corey; George, Wyatt; Gatza, Brody; Waggoner, Alex; Clark, Drake; Department of Electrical Engineering and Computer Science, University of Kansas; et al. (International Foundation for Telemetering, 2022-10)
      The University of Kansas has established a student-led satellite program called KUbeSat under NASA’s CubeSat Launch Initiative (CSLI). The first mission, KUbeSat1, is currently planned to be launched in the Summer of 2022 and is intended to operate in a sun-synchronous orbit at 565 km with an inclination of 85 - 95°. The ground station is built on the university campus and operates in the 435 – 438 MHz amateur band. The primary line consists of amateur radio, modem, and Raspberry Pi, while the second line is based on a Software Defined Radio (SDR). The mission concept and overview of the ground station were explained in a previous paper titled, ‘Amateur Ground Station for CubeSatellite Program’. This paper presents the results of tests performed with ground station components and satellite hardware which includes a detailed timeline of packet operations.
    • Rocket Telemetry - Hardware, Software Integration and Testing

      Moazzami, Farzad; Dean, Richard; Zegeye, Wondimu; Richards, Darnell; Young, Dayja; Morgan State University, Electrical and Computer Engineering Department (International Foundation for Telemetering, 2022-10)
      This paper is a continuation of the previous papers: “Rocket Telemetry - Physical and Functional Design”, and “Rocket Telemetry - Software and Functional Design”. The paper will capture our efforts of hardware, software integration and testing. The software will capture and transmit data from accelerometers and gyroscopes on the module to track the trajectory of the rocket after launch. Morgan State has received a $1.6 million aerospace grant that will allow the school to complete a liquid-fuel rocketry lab and to recruit and hire a faculty aerospace leader to create a world-class program in liquid fuel. The school is looking to build and launch a liquid fuel rocket that can reach 150,000 feet.
    • Paving the Way to Wireless Fiber Optic Sensing Applied to Helicopter Rotor Blade Instrumentation and Monitoring

      Seznec, Marc; Guerrero, Ghislain; Ivanoff, Jean-Gregoire; Salhi, Nassim; Guehlke, Philip; Airbus Helicopters, Aéroport International Marseille Provence; Safran Data Systems; Safran Tech; FiSens GmbH (International Foundation for Telemetering, 2022-10)
      Between 2018 and 2021, Airbus Helicopters and Safran Data Systems have conducted an innovation project called HIRIS in the frame of a European project aiming at developing a new wireless technology for helicopter rotor instrumentation and included operational Flight Tests on the field during 10 months and 60h flight hours. In the meantime, the interest for Fiber Optic Sensing (FOS) technologies has grown up in the aerospace domain for various structural and environmental monitoring use cases. Safran Data Systems, Safran Tech and FiSens have paved a way to design an ultra-compact optical interrogator compliant with the airborne environments and integrated in a modular Data Acquisition Unit. This paper aims at demonstrating that the latest wireless instrumentation techniques associated with innovative FOS technologies open the capabilities to instrument and monitor helicopter rotor elements such as Rotors blades with an unprecedented level of performances, reliability and low intrusiveness.
    • Ground S-Band Hybrid AESA Antenna, Moving from Concept to Measurement Results of the Prototype

      Lohou, A.; Lesur, B.; Kipfer, G.; Bastie, P.-M.; Safran Data Systems (International Foundation for Telemetering, 2022-10)
      The contribution talks about the application of AESA technology for telemetry ground antennas. The AESA concept we are proposing is a 1-axis electronically steerable antenna (elevation axis), while the azimuth axis remains mechanically driven. The design will lead to a 1m² antenna, dedicated to short - medium range telemetry, with potential high target dynamics. This paper introduces the concept and details the design with the first mock-up, which was manufactured and measured. The results present a very important knowledge in the establishment of phase controls for beam-steering, and in the control of the axial ratio. Then, this document focuses on the development of a complete prototype for an evaluation at the end of 2022.
    • It’s Time for an Evolutionary Leap in Testing

      Smith, Grant M.; Dewesoft (International Foundation for Telemetering, 2022-10)
      The human experience is about evolution. This applies to everything from our biology to how we design and build airplanes and rockets. How we can push technology to record better data, better telemetry, and analyze increasing amounts of data better and faster? We are not going to be handed the next technological leap in aerospace technology. The paper examines what we need to develop in order to make the next leaps forward in the DAQ (data acquisition) system technology that is so critical to airframe testing.
    • Utilizing Computer Vision to Inform Real-Time Simulations and Controlling Embedded Systems Using Various Wireless Techniques

      Perrins, Erik; Hester, Chauncey Deone, Jr.; University of Kansas (International Foundation for Telemetering, 2022-10)
      The field of robotics is filled with many interwoven concepts, each with their own niche yet relevant function which serves a higher abstracted purpose. At the University of Kansas Robotics Organization (KURO), we offer students the freedom to explore these underlying concepts in self contained and interesting projects. As such, in this paper, we will recount the methodology and results of combining a wide array of topics together for an insightful yet novel goal of recreating a carnival game with a twist: A shooting gallery but your finger is the gun. Such topics include web socket communication, advanced hand tracking hardware, game development software, RF communication between multiple embedded systems, and real time computer vision. Along with this, but not necessarily relevant to Telemetry, we will discuss the manufacturing considerations, for optimizing speed and stability, as the entire project had a strict time constraint of 48 hours to create a working demo to be judged.
    • Evaluation of JPEG-2000 Image Compression as Applied to Electroencephalography

      Creusere, Charles D.; Tellez, Joshua; Klipsch School of Electrical and Computer Engineering, New Mexico State University (International Foundation for Telemetering, 2022-10)
      In this paper we present an experiment utilizing the JPEG-2000 image compression standard to compress multi-channel electroencephalographic (EEG) signals at a lossless quality. We employ multiple pre-processing methods and assess their performance based on achieved compression ratio, computational demand, feature set, and complexity relative to existing methods from several related published works. We propose a simple pre-processing method that arranges multi-channel EEG matrices into a blocked form which yields an average 2.267:1 lossless compression ratio for the Brain Computer Interface IV-1 (BCICIV-1) dataset.
    • Optical Tracking System (SisTrO) Experimental Validation

      Leite, Nelson Paiva Oliveira; de Oliveira Silva, Bruno Giordano; Instituto de Pesquisas e Ensaios em Voo (IPEV) (International Foundation for Telemetering, 2022-10)
      According to JCGM 100:2008, Evaluation of measurement data - Guide to the expression of uncertainty in measurement, “When reporting the result of a measurement of a physical quantity, it is obligatory that some quantitative indication of the quality of the result be given so that those who use it can assess its reliability. Without such an indication, measurement results cannot be compared, either among themselves or with reference values”. As a measurement device the Sistema de Trajetografia Ótico (SisTrO - Optical Tracking System), computes 3-D store trajectory in real time using photogrammetric techniques. The estimation of 3-D trajectory uncertainty can’t be achieved by either Type A or B procedures, as recommended by JCGM 100-2008. So, IPEV, using physics basics and advanced system identification tools developed an experimental process for the estimation of SisTrO’s 3-D solution uncertainty. The developed process and laboratory experimental results used for validation is presented.
    • Virtualization for Telemetry Network

      Moazzami, Farzad; Dean, Richard; Zegeye, Wondimu; Dugda, Mulugeta; Morten, Daryl; Jordan, Perry; Okonkwo, Favour; Morgan State University, Electrical and Computer Engineering Department (International Foundation for Telemetering, 2022-10)
      Our world is changing fast and many companies have graduated to task automations, Artificial Intelligence and Machine learning, virtual and Augmented Reality, Blockchain, IoT, and many more. To aid this progression, more intensive and complex computing has been undeniably pivotal, more data has been generated and stored, and above all, more measures have been required to protect both data and functionalities of these advancements. Really, how relevant or advanced is a system if any unauthorized or unqualified person has access to its database, networks or functionality? This paper breaks down the use of hardware virtualization tools to develop testbed systems that test for vulnerabilities in a telemetry network. Put simply, we are developing a testbed that will model an enterprise of telemetry networks. We will then launch attacks on these networks and test the vulnerabilities of the client machines to ascertain the level of vulnerability of the client machines. There are a number of components included in the Testbed such as routers, switches, LANs, Virtual machines, connectors, firewalls, etc. The virtual machine here is a VMware workstation.