Two-dimensional system identification using amplitude estimation

Hongbin Li, Wei Sun, Petre Stoica, Jian Li

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

In [1], we introduced an amplitude estimation based scheme for one-dimensional (1-D) system identification that overcomes several drawbacks (e.g., computational complexity, local convergence, and statistical inefficiency when spectrally colored noise is present) suffered by the conventional output error method (OEM). Along the same line, we herein propose a two-dimensional (2-D) system identification scheme that makes use of 2-D amplitude estimation. In particular, we consider the recently introduced 2-D Amplitude and Phase EStimation (APES) amplitude estimator, which has been shown to yield superior performance over its competitors. To benchmark the proposed scheme, we also derive the Cramér-Rao bound (CRB) for the 2-D system identification problem.

Original languageEnglish
Pages (from-to)61-63
Number of pages3
JournalIEEE Signal Processing Letters
Volume9
Issue number2
DOIs
StatePublished - Feb 2002

Keywords

  • 2-D amplitude estimation
  • 2-D system identification
  • Cramer-Rao bound

Fingerprint

Dive into the research topics of 'Two-dimensional system identification using amplitude estimation'. Together they form a unique fingerprint.

Cite this