Blind identification of ARMA models with periodically modulated inputs

Georgios B. Giannakis, Erchin Serpedin

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. The 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, as well as color, of additive stationary noise, provided that the cyclostationary input has at least pq + 1 cycles.

Original languageEnglish
Pages (from-to)2628-2629
Number of pages2
JournalIEEE Transactions on Signal Processing
Volume45
Issue number10
Publication statusPublished - 1997
Externally publishedYes

Fingerprint

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

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Signal Processing

Cite this

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

In: IEEE Transactions on Signal Processing, Vol. 45, No. 10, 1997, p. 2628-2629.

Research output: Contribution to journalArticle

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