• DocumentCode
    2035556
  • Title

    Root-MSE geolocation performance using angle-of-arrival measurements

  • Author

    Adib, Neda ; Douglas, Scott C.

  • Author_Institution
    Dept. of Electr. Eng., Southern Methodist Univ., Dallas, TX, USA
  • fYear
    2013
  • fDate
    3-6 Nov. 2013
  • Firstpage
    476
  • Lastpage
    480
  • Abstract
    In this paper, we describe a procedure for evaluating the fundamental root-mean-square-error (root-MSE) accuracy of a single moving sensor system collecting angle-of-arrival (AOA) measurements of a single stationary emitter in two dimensions. The procedure assumes a known probability density function (p.d.f.) for a set of AOA measurements of azimuthal angle that are statistically-independent from each other. We construct the closed-form p.d.f. of the emitter position from these measurements based on the motion of the sensor, from which the root-MSE is numerically evaluated. The procedure has a number of useful capabilities, including (i) assessing the performance capabilities of a chosen AOA-based geolocation algorithm, (ii) determining the effect of the trajectory speed, direction, and AOA collection rate on overall geolocation performance, and (iii) judging the benefits and drawbacks of various data processing strategies.
  • Keywords
    direction-of-arrival estimation; geophysical signal processing; mean square error methods; position measurement; probability; AOA measurements; AOA-based geolocation algorithm; angle-of-arrival measurements; azimuthal angle; data processing strategies; emitter position; geolocation performance; probability density function; root-MSE accuracy; root-mean-square-error accuracy; sensor motion; single moving sensor system; single stationary emitter; Accuracy; Coordinate measuring machines; Density measurement; Geology; Position measurement; Sensor systems; Trajectory; antenna arrays; azimuth; direction-of-arrival estimation; root mean square; statistical analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2013 Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • Print_ISBN
    978-1-4799-2388-5
  • Type

    conf

  • DOI
    10.1109/ACSSC.2013.6810322
  • Filename
    6810322