• DocumentCode
    2625044
  • Title

    Optimal Adaptive Waveform Selection Based on ADP in Cognitive Radar

  • Author

    Wang, Bin ; Wang, Jinkuan ; Song, Xin ; Han, Yinghua

  • Author_Institution
    Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
  • Volume
    5
  • fYear
    2009
  • fDate
    March 31 2009-April 2 2009
  • Firstpage
    332
  • Lastpage
    334
  • Abstract
    Cognitive radar is a new framework radar system proposed in 2003 and waveform selection is an important problem in this type of radar. In this paper, we design a knowledged-based (KB) waveform selector and use stochastic dynamic programming model to describe waveform selection problem. To solve the problem of curses of dimensionality, we use approximate dynamic programming (ADP) in our solution. This method is operative and efficient.
  • Keywords
    dynamic programming; radar applications; ADP method; approximate dynamic programming; cognitive radar; knowledged-based waveform selector; optimal adaptive waveform selection; stochastic dynamic programming model; Adaptive scheduling; Data processing; Dynamic programming; Radar signal processing; Radar tracking; Signal processing; Signal processing algorithms; Stochastic processes; Target tracking; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Engineering, 2009 WRI World Congress on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-0-7695-3507-4
  • Type

    conf

  • DOI
    10.1109/CSIE.2009.828
  • Filename
    5170552
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2625044