• TELEMETRY RECONSTRUCTION AND ANALYSIS USING VIRTUAL REALITY

      Verges, Katherine; Graham, Richard; NSWC Corona Division (International Foundation for Telemetering, 2016-11)
      Currently, telemetry analysis is visually disconnected from the system being analyzed; analysts look at a series of two dimensional functions plotted over time that represent everything that happens. As the digital age continues to evolve and grow, a new technology is emerging in the world of entertainment: Virtual Reality (VR). VR describes a system that uses a headset to create a completely manufactured environment for the user to utilize and explore. This technology can be harnessed in order to translate raw telemetry data into an all-inclusive image of a system being analyzed in a 3-dimensional (3D) format. It would allow an analyst to fully visualize results and better understand what is occurring and has the potential to remove some of the subjectivity that comes with analyzing functions in order to help scientists and engineers to more efficiently improve their products. VR technology could be applied in a variety of fields-- defense, medicine, biology, and many more—and could help pave the way to technical advancements for a better world.
    • TELEMETRY SYSTEM FOR REALTIME MONITORING OF AN OFFROAD RACECAR

      Marcellin, Michael; Boyer, Kyle; Brubaker, Laura; Everly, Kyle; Herriman, RIchard; Sackett, Mark; Tran, Huy; Univ Arizona, Dept Elect & Comp Engn (International Foundation for Telemetering, 2016-11)
      The University of Arizona Baja racing team competes annually in a grueling fourhour offroad endurance race which subjects vehicles to an array of obstacles such as jumps, boulders, and mud bogs. This paper examines the telemetering system created by the UA Baja Team to monitor a range of critical aspects of the car with the goal of detecting and identifying possible mechanical failures and areas with potential for improvement. Running on an Arduino Mega, the system stores all gathered data to an SD card and transmits it back to the pit wirelessly for realtime analysis.
    • TENA – ALLEVIATING MANPOWER AND OPERATIONAL COSTS WITHIN THE TELEMETRY COMMUNITY

      Hudgins, Gene; Poch, Keith; Secondine, Juana; TENA Software Development Activity (SDA) (International Foundation for Telemetering, 2016-11)
    • TOWARDS A NEW TRACKING ARCHITECTURE

      Busson, Francois; Pierozak, Jean-Guy; Richard, Hugues; Kipfer, Gerard; ZODIAC AEROSPACE; ZODIAC DATA SYSTEMS (International Foundation for Telemetering, 2016-11)
      A telemetry facility may connect numerous telemetry receivers to a single tracking antenna depending on the number of TM channels involved in the test and on the required redundancy. The tracking data, i.e. AM normalized analog signals extracted by the receivers from the TM signal and the AGC analog signals, are sent to the Antenna Control Unit (ACU) for tracking error calculation. The number of cables between receivers and ACU becomes important in some telemetry facilities and the tracking signals being analog, the distance must be limited. This paper proposes a new tracking architecture that moves from analog to digital links between receivers and ACU with the following main benefits:  Keeping the capability to acquire tracking data (AM&AGC) from several telemetry receivers,  Having more flexibility for integration,  Improving interoperability,  Providing availability of simultaneous tracking errors for enhanced tracking algorithms, for C-band tracking improvement for example.
    • Towards Real-Time CMA Equalization by using FFT for Signal Blocks transmitted over an Aeronautical channel

      Cole-Rhodes, Arlene; Moazzami, Farzad; Taiwo, Peter; Dossongui, Itie Serge Kone; Morgan State University, Dept Elect and Comp Eng (International Foundation for Telemetering, 2016-11)
      We consider the problem of equalizing data blocks of signals, which have been transmitted over an aeronautical channel using two different modulation schemes. The equalization is performed using the block-processing constant modulus algorithm (CMA), and in order to achieve real-time processing a Fast Fourier Transform (FFT) is used to compute the gradient of this cost function during equalization. The equalizer length is chosen to be five times of the channel length. For the first experiment, we present the result of equalizing a set of measured data, which was modulated and transmitted using the iNET packet structure with SOQPSK modulation. In this case, the CMA equalizer is first initialized using MMSE and the equalizer coefficients are then updated once, using each entire block (iNET packet). In the second experiment, we apply the FFT-based block processing equalizer to received data blocks of QPSK signals, which have been randomly generated and transmitted over an aeronautical channel. A modified constant modulus algorithm and alphabet matched algorithm (CMA + AMA) equalizer is used to recover these data blocks. For this case of QPSK signals, the equalizer performance is evaluated over 500 Monte Carlo runs, using the average symbol error rate (SER).
    • Unsupervised Segmentation and Labeling for Smartphone Acquired Gait Data

      Martinez, Matthew; De Leon, Phillip L.; New Mexico State University, Klipsch School of Elec. & Comp. Eng.; Sandia National Laboratories (International Foundation for Telemetering, 2016-11)
      As the population ages, prediction of falls risk is becoming an increasingly important research area. Due to built-in inertial sensors and ubiquity, smartphones provide an at- tractive data collection and computing platform for falls risk prediction and continuous gait monitoring. One challenge in continuous gait monitoring is that signi cant signal variability exists between individuals with a high falls risk and those with low-risk. This variability increases the di cultly in building a universal system which segments and labels changes in signal state. This paper presents a method which uses unsu- pervised learning techniques to automatically segment a gait signal by computing the dissimilarity between two consecutive windows of data, applying an adaptive threshold algorithm to detect changes in signal state, and using a rule-based gait recognition al- gorithm to label the data. Using inertial data,the segmentation algorithm is compared against manually segmented data and is capable of achieving recognition rates greater than 71.8%.
    • USE OF GIGE VISION ETHERNET CAMERAS FOR FLIGHT TEST APPLICATIONS WITHOUT DATA LOSS

      Holmeide, Ø.; Schmitz, M.; OnTime Networks AS; OnTime Networks LLC (International Foundation for Telemetering, 2016-11)
      As Ethernet based networks have become the dominant choice for Flight Test Instrumentation (FTI) network applications, it is also clear that Ethernet based camera integration and applications have yet to become more wide spread for system level design and integration. A significant customer base utilizes either separate video compression systems or even just stand-a-lone gopro cameras for recording purposes in an unsynchronized ways. The use of uncompressed high definition (HD) video from GigE Vision Ethernet cameras for flight test applications is a significant issue in managing the large volumes of data produced by the cameras and forwarding them to any 1000BASE-T(x) switch port without packet loss and significant delays. Of course an easy approach to overcome this issue would be to just increase the network bandwidth from 1000BASE-T(x) to 10GBASE-SR, but most FTI systems just moved to 1000BASE-T(x) in the past years and therefore changing the overall system hardware is cost prohibited. One concern has been the use of compression algorithms to reduce the required video bandwidth, with the negative side effect that the image quality reduces and end-to-end latency increases, which is not acceptable for some applications. Further, it is important that data from cameras is available to a number of different multicast consumers within the FTI network, for example workstations, recorders and telemetry systems. These video data stream also require synchronization so that they can be analyzed in post processing.
    • WAVEFIELD-BASED MOTION ESTIMATION FOR RADAR AND SONAR ARRAY SYSTEMS

      Lee, Hua; Radzicki, Vincent R.; University of California, Department of Electrical and Computer Engineering (International Foundation for Telemetering, 2016-11)
      This paper introduces a generalized and computationally efficient approach for the estimation of target motion parameters from received wavefield data collected from coherent sensing systems such as radar and sonar measurement arrays. The mathematical content of the algorithm is described, along with the general processing procedure to perform on recorded data. The algorithm presents a solution to the joint estimation of translational motion and periodic motion of targets, which has many practical applications for sensing and detection tasks. Experimental and simulation results are included supporting the effectiveness of the method.
    • WEARABLE WIRELESS BODY AREA NETWORK

      Marcellin, Michael; Melde, Kathleen; Fajardo, Nicolas; Garrick, Kevin; Giroud, Xaviere; Kehn, Brian; Maggio, Andrew; Read, Cecilia; Univ Arizona, Dept Elect & Comp Engn (International Foundation for Telemetering, 2016-11)
      This document will provide a detailed description of the original design behind our device, device casing, and iOS application. It will cover process of assembly, as well as failure analysis and future directions for the project.