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.

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.

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.

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.

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.

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.

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.

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.