Blind identification of ARMA models with periodically modulated inputs

Erchin Serpedin, Georgios B. Giannakis

Research output: Contribution to journalConference article

1 Citation (Scopus)

Abstract

Recent results have pointed out the importance of inducing cyclostationarity at the transmitter for blind identification of FIR communication channels. Present paper considers the blind identification problem of an ARMA(p, q) channel, by exploiting the cyclostationarity induced at the transmitter through periodic encoding of the input. It is shown that causal and stable ARMA(p, q) channels can be uniquely identified from the output second-order cyclic statistics, irrespective of the location of channel poles and zeros, and color of additive stationary noise, provided that the cyclo-stationary input has at least q+2 cycles.

Original languageEnglish
Pages (from-to)1633-1637
Number of pages5
JournalConference Record of the Asilomar Conference on Signals, Systems and Computers
Volume2
Publication statusPublished - 1 Jan 1998
EventProceedings of the 1997 31st Asilomar Conference on Signals, Systems & Computers. Part 1 (of 2) - Pacific Grove, CA, USA
Duration: 2 Nov 19975 Nov 1997

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ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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