• DocumentCode
    2383892
  • Title

    Optimal signal/filter design for multi-target detection in colored noise

  • Author

    Patton, Lee K. ; Rigling, Brian D.

  • Author_Institution
    Matrix Res. & Eng., Dayton, OH, USA
  • fYear
    2011
  • fDate
    23-27 May 2011
  • Firstpage
    276
  • Lastpage
    281
  • Abstract
    We consider the design of optimal transmit waveforms/receive-filters for detecting multiple unknown targets in a known interference environment. Specifically, we introduce constraints on the signal/filter cross correlation function, which is of fundamental importance in practice. The incorporation of these constraints leaves the problem analytically intractable, and numeric techniques must be employed. We show that unlike the solutions to the more relaxed formulations found in the literature, eigenfunction solutions are no longer applicable, and the Neyman-Pearson receiver is no longer the most appropriate choice for many scenarios.
  • Keywords
    correlation theory; eigenvalues and eigenfunctions; filtering theory; radar signal processing; target tracking; Neyman-Pearson receiver; colored noise; eigenfunction solution; interference environment; multitarget detection; optimal signal design; Algorithm design and analysis; Gain; Interference; Joints; Optimization; Radar; Signal to noise ratio; Radar waveform optimization; ambiguity function constraints; nonlinear programming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference (RADAR), 2011 IEEE
  • Conference_Location
    Kansas City, MO
  • ISSN
    1097-5659
  • Print_ISBN
    978-1-4244-8901-5
  • Type

    conf

  • DOI
    10.1109/RADAR.2011.5960543
  • Filename
    5960543