Blind identification of ARMA models with periodically modulated inputs

Erchin Serpedin, Georgios B. Giannakis

Research output: Contribution to journalArticle

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 - 1998
Externally publishedYes

Fingerprint

Transmitters
Identification (control systems)
Poles and zeros
Additive noise
Statistics
Color

ASJC Scopus subject areas

  • Hardware and Architecture
  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Blind identification of ARMA models with periodically modulated inputs. / Serpedin, Erchin; Giannakis, Georgios B.

In: Conference Record of the Asilomar Conference on Signals, Systems and Computers, Vol. 2, 1998, p. 1633-1637.

Research output: Contribution to journalArticle

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