• DocumentCode
    2881839
  • Title

    Performance models for sidelobe constrained signal design with eigen-basis formulation

  • Author

    Jones, Aaron M. ; Rigling, Brian D. ; Rangaswamy, Muralidhar

  • Author_Institution
    Sensors Directorate, AFRL: RF Exploitation Branch, Patterson, CA, USA
  • fYear
    2015
  • fDate
    10-15 May 2015
  • Abstract
    Understanding the consequences of applying constraints in arbitrary waveform design can benefit the decision making process of an adaptive system by providing insight into selection of the transmit signal. In this paper, we discuss the role of the integrated sidelobe (ISL) parameter for adaptive radar signal design as it pertains to signal-to-interference-ratio (SINR) performance. We do so by undertaking a design methodology that limits the basis dimension of the waveform while placing a finite energy constraint on the optimal ISL solution. We further extend the analysis by developing performance models for the integrated sidelobe metrics corresponding SINR degradation, from optimal. Included are Monte Carlo simulation trials designed to measure the impact of ISL on SINR.
  • Keywords
    Monte Carlo methods; adaptive radar; adaptive signal processing; decision making; eigenvalues and eigenfunctions; radar signal processing; Monte Carlo simulation; SINR degradation; adaptive radar signal design; adaptive system; arbitrary waveform design; decision making process; eigen-basis formulation; eigen-vector; finite energy constraint; integrated sidelobe parameter; optimal ISL solution; performance models; sidelobe constrained signal design; signal-to-interference-ratio performance; transmit signal selection; Covariance matrices; Data models; Eigenvalues and eigenfunctions; Interference; Monte Carlo methods; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference (RadarCon), 2015 IEEE
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    978-1-4799-8231-8
  • Type

    conf

  • DOI
    10.1109/RADAR.2015.7131110
  • Filename
    7131110