Blind system identification using precise and quantized observations

Chengpu Yu, Cishen Zhang, Lihua Xie

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)

Abstract

This paper studies the blind identification of multi-channel FIR systems using precise and quantized observations. First, a new deterministic blind identification (DBI) algorithm is presented for multi-channel FIR systems using precise observations, in which the system parameters can be consistently estimated and the common source signal can be stably recovered. When the observed samples are quantized by a static finite-level quantizer, an iterative deterministic blind identification (IDBI) method is then provided. The asymptotic characters of the proposed IDBI method are discussed and the quantization effect on the identification performance is analyzed. Numerical simulations are given to support the developed DBI method and IDBI method.

Original languageEnglish
Pages (from-to)2822-2830
Number of pages9
JournalAutomatica
Volume49
Issue number9
DOIs
Publication statusPublished - Sept 2013
Externally publishedYes

Keywords

  • Blind system identification
  • Maximum-likelihood estimator
  • Quantized observations

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