International Telemetering Conference Proceedings, Volume 52 (2016): Recent submissions

Now showing items 61-64 of 64

    • REAL TIME C BAND LINK BUDGET MODEL CALCULATION
      Rubio, Pedro; Fernandez, Francisco; Jimenez, Francisco; Airbus D&S (International Foundation for Telemetering, 2016-11)
      The purpose of this paper is to show the integration of the transmission gain values of a telemetry transmission antenna according to its relative position and integrate them in the C band link budget, in order to obtain an accuracy vision of the link. Once our C band link budget was fully performed to model our link and ready to work in real time with several received values (GPS position, roll, pitch and yaw) from the aircraft and other values from the Ground System (azimuth and elevation of the reception telemetry antenna), it was necessary to avoid a constant value of the transmitter antenna and estimate its values with better accuracy depending of the relative beam angles between the transmitter antenna and receiver antenna. Keeping in mind an aircraft is not a static telecommunication system it was necessary to have a real time value of the transmission gain. In this paper, we will show how to perform a real time link budget (C band).

    • 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%.

    • MARS-COLONIZATION SENSOR SYSTEM FOR SOIL ANALYSIS
      Kosbar, Kurt; Maruska, John; Schad, Judah; Missouri University of Science and Technology, Department of Electrical and Computer Engineering (International Foundation for Telemetering, 2016-11)
      This paper discusses a modular open source electronic soil analysis system embedded in a remote vehicle designed for use on a colonizationeffort Mars rover. The embedded system consists of a soil extraction drill sheath, a temperature and moisture array sensor sheath, a sample return bay specialized for RamanFluorescence spectrometry, and an Ethernet bridge radio for communication, all controlled through several microcontroller boards. A Windowsbased graphical engagement application provides real time control. A Linuxbased scripting application provides postprocessing, graphing, and statistical analysis. All software and electrical hardware has been made opensource for the public to build upon.

    • International Telemetering Conference Proceedings, Volume 52 (2016)
      International Foundation for Telemetering, 2016-11