Blind identification of second-order statistics using periodic Toeplitz system

Yoshihiro Kitaoka, Toshihiro Furukawa, Kiichi Urahama

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Blind identification (BI) is a method to estimate a system of a channel with a priori knowledge of the transmitted signals and the received signals. This paper presents the method to estimate the impulse response of a channel using Second-Order statistics (SOS) of the cyclostationary (CS) received signals. In the paper, we consider the case in which the received signals are oversampled at the rate 1/mT (m = 2,3,...,n) when the received signals are sampled at the baud rate. We estimate the impulse response of a channel using the method in the double-sampling. Next, we estimate the impulse response of a channel using a result that extended the method in the sampling rate 1/mT (m = 3,...,n). Here, we need to calculate a inverse matrix of the matrix constructed using both the auto-correlation and the cross-correlation function in estimating the impulse response of a channel. In this paper, we take notice of the cyclic property of the matrix and apply Periodic Toeplitz system (PTS) to get a inverse of the matrix.

Original languageEnglish
Title of host publicationProceedings - IEEE International Symposium on Circuits and Systems
PublisherIEEE
Volume3
ISBN (Print)0780354710
Publication statusPublished - 1999
EventProceedings of the 1999 IEEE International Symposium on Circuits and Systems, ISCAS '99 - Orlando, FL, USA
Duration: May 30 1999Jun 2 1999

Other

OtherProceedings of the 1999 IEEE International Symposium on Circuits and Systems, ISCAS '99
CityOrlando, FL, USA
Period5/30/996/2/99

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials

Fingerprint Dive into the research topics of 'Blind identification of second-order statistics using periodic Toeplitz system'. Together they form a unique fingerprint.

Cite this