• DocumentCode
    1582363
  • Title

    Hidden Markov estimation of bistatic range from cluttered ultra-wideband impulse responses

  • Author

    McCracken, Merrick ; Patwari, Neal

  • Author_Institution
    Univ. of Utah, Salt Lake City, UT, USA
  • fYear
    2012
  • Firstpage
    17
  • Lastpage
    20
  • Abstract
    Multistatic radar is used for target detection and tracking in buildings and rooms. Target detection and tracking relies on accurate knowledge of the excess delay of the multipath component which travels from the transmitter, to the target, and then to the receiver. If the environment creates many multipath components, individual ultra-wideband (UWB) impulses overlap. We seek to accurately estimate a target´s excess delay by considering the difference between the channel impulse response (CIR) and a known CIR of the static environment as a hidden Markov model (HMM). Experimental CIRs are used to test the performance of this model, as well as energy detection. The RMSE from applying a HMM was 2.7 ns and 2.8 ns and from applying energy detection was 5.3ns and 5.2 ns for two experimental setups.
  • Keywords
    building management systems; delays; estimation theory; hidden Markov models; mean square error methods; object detection; radar clutter; radar detection; radar receivers; radar transmitters; target tracking; transient response; ultra wideband radar; CIR; HMM; RMSE; bistatic range hidden Markov estimation; channel impulse response; cluttered ultrawideband impulse response; energy detection; multipath component delay; multistatic radar; radar receiver; radar transmitter; target detection; target excess delay estimation; target tracking; time 2.7 ns; time 2.8 ns; time 5.2 ns; time 5.3 ns; Calibration; Delay; Delay effects; Hidden Markov models; Radar tracking; Radio transmitters; Receivers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Sensors and Sensor Networks (WiSNet), 2012 IEEE Topical Conference on
  • Conference_Location
    Santa Clara, CA
  • Print_ISBN
    978-1-4577-1237-1
  • Type

    conf

  • DOI
    10.1109/WiSNet.2012.6172149
  • Filename
    6172149