Linear algebraic approaches for (almost) periodic moving average system identification

  • Authors:

  • Ying-Chang Liang;A. R. Leyman;Xian-Da Zhang

  • Affiliations:

  • -;-;-

  • Venue:
  • SPWHOS '97 Proceedings of the 1997 IEEE Signal Processing Workshop on Higher-Order Statistics (SPW-HOS '97)
  • Year:
  • 1997

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Abstract

Abstract: This paper addresses the problem of (almost) periodic moving average (APMA) system identification. Two normal equations are established by using time varying higher order cumulants of the measurements, from which two new linear algebraic algorithms are presented for parameter estimation. Simulation examples are given to demonstrate the performance of these new approaches.