A reliable method for blind channel identification using burst data

Dan Raphaeli, Udi Suissa

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper we present a new approach for blind identification of single input single output (SISO) and multiple inputs single output (MISO) FIR channels with nonminimum phase. The approach is based on minimizing a cost function built of the problem unknown parameters and a vector of measurements achieved by passing the received data through a known parallel set of FIR filters followed by samples averaging. Averaging is done according to certain functions that have higher order statistics (HOS) content and that their asymptotical mean can be expressed in closed form. The main advantages of this approach are its high probability of identification success when considering statistical channels, its ability to obtain reliable channel estimates in low SNR using short records of samples and its unsensitivity to overestimation of the channel order.

Original languageEnglish
Title of host publicationProceedings - 7th International Symposium on Signal Processing and Its Applications, ISSPA 2003
PublisherIEEE Computer Society
Pages669-672
Number of pages4
ISBN (Print)0780379462, 9780780379466
DOIs
StatePublished - 2003
Event7th International Symposium on Signal Processing and Its Applications, ISSPA 2003 - Paris, France
Duration: 1 Jul 20034 Jul 2003

Publication series

NameProceedings - 7th International Symposium on Signal Processing and Its Applications, ISSPA 2003
Volume1

Conference

Conference7th International Symposium on Signal Processing and Its Applications, ISSPA 2003
Country/TerritoryFrance
CityParis
Period1/07/034/07/03

Keywords

  • Blind channel Identification
  • Cumulants
  • HOS
  • MISO
  • Nonminimum phase channels
  • SISO

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