• DocumentCode
    2885205
  • Title

    Novel Direction-of-Arrival Estimation Techniques for Periodic-Sense Local Positioning Systems

  • Author

    Pourrostam, J. ; Zekavat, Seyed A. ; Tong, Hui

  • Author_Institution
    Michigan Technol. Univ., Houghton
  • fYear
    2007
  • fDate
    17-20 April 2007
  • Firstpage
    568
  • Lastpage
    573
  • Abstract
    This paper introduces novel direction-of-arrival (DOA) estimation techniques for periodic sense positioning systems (e.g., pulse radar systems and wireless local positioning systems). Periodic signaling between a tracker (e.g., dynamic base station) and a target (e.g., transceiver) in these systems introduces a nature of cyclostationarity to the received signal at the receiver of the tracker. The cyclostationary nature of the received signal is analyzed theoretically and via simulations in terms of system parameters such as number of targets, average speed of targets, bandwidth, coverage range and HPBW (half power beam width) of the tracker antenna array. Exploiting the introduced cyclostationarity property, novel DOA estimation schemes are proposed to improve DOA estimation performance of the tracker. The performance measure is the DOA estimation mean square error (MSE). Simulations are conducted to study the performance in terms of signal to noise ratio and number of targets. The results confirm the superiority of the proposed approaches.
  • Keywords
    antenna arrays; direction-of-arrival estimation; radionavigation; telecommunication signalling; DOA estimation techniques; direction-of-arrival estimation techniques; mean square error; periodic signaling; periodic-sense local positioning systems; signal to noise ratio; tracker antenna array; Analytical models; Bandwidth; Base stations; Direction of arrival estimation; Radar tracking; Receiving antennas; Signal analysis; Target tracking; Transceivers; Wireless sensor networks; Antenna arrays; Cyclostationarity; DOA estimation; Local Positioning Systems; Periodic Signaling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference, 2007 IEEE
  • Conference_Location
    Boston, MA
  • ISSN
    1097-5659
  • Print_ISBN
    1-4244-0284-0
  • Electronic_ISBN
    1097-5659
  • Type

    conf

  • DOI
    10.1109/RADAR.2007.374281
  • Filename
    4250375