• DocumentCode
    2544649
  • Title

    A sequential extension of the unified MAP track estimation method

  • Author

    Zarnich, Robert E. ; Bell, Kristine L. ; Van Trees, Harry L.

  • Author_Institution
    Sch. of Inf. Technol. & Eng., George Mason Univ., Fairfax, VA, USA
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    97
  • Lastpage
    101
  • Abstract
    A maximum a-posteriori (MAP) estimator for multitarget tracking based on sensor array data has been derived for temporally uncorrelated signals and uncorrelated contact tracks. This batch estimator is an iterative algorithm employing a nested pair of expectation maximization (EM) based algorithms. The `hidden data´ are direction-of-arrival estimates of synthetic signal estimates, each conditioned on prior track distributions. In this paper, the batch method is extended to operate in a sequential manner by defining a moving batch window and stride for processing the incoming data. Comparisons to the full batch method are presented and discussed
  • Keywords
    array signal processing; direction-of-arrival estimation; iterative methods; optimisation; sequential estimation; target tracking; DOA estimation; batch estimator; direction-of-arrival estimates; expectation maximization based algorithms; iterative algorithm; maximum a-posteriori estimator; moving batch window; multitarget tracking; sensor array data; sequential extension; synthetic signal estimates; temporally uncorrelated signals; track distribution; uncorrelated contact tracks; unified MAP track estimation method; Data engineering; Direction of arrival estimation; Geometry; Iterative algorithms; Maximum a posteriori estimation; Sensor arrays; Sensor systems; State estimation; State-space methods; Target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensor Array and Multichannel Signal Processing Workshop. 2000. Proceedings of the 2000 IEEE
  • Conference_Location
    Cambridge, MA
  • Print_ISBN
    0-7803-6339-6
  • Type

    conf

  • DOI
    10.1109/SAM.2000.877976
  • Filename
    877976