Embedded-signal design for channel parameter estimation part I: Linear embedding

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

Abstract

This paper studies the problem of waveform design for identification of communication channel parameters, when the waveform is to be embedded in a host signal. Applications of this study include watermarking and covert communications. We study a subspace-projection embedding method and a penalized nonlinear least-squares parameter estimator. The performance of the estimator is studied in an asymptotic regime. Conditions are given under which the estimator does as well as one that knows the host signal.

Original languageEnglish (US)
Title of host publicationProceedings of the 2003 IEEE Workshop on Statistical Signal Processing, SSP 2003
PublisherIEEE Computer Society
Pages38-41
Number of pages4
ISBN (Electronic)0780379977
DOIs
StatePublished - 2003
EventIEEE Workshop on Statistical Signal Processing, SSP 2003 - St. Louis, United States
Duration: Sep 28 2003Oct 1 2003

Publication series

NameIEEE Workshop on Statistical Signal Processing Proceedings
Volume2003-January

Other

OtherIEEE Workshop on Statistical Signal Processing, SSP 2003
Country/TerritoryUnited States
CitySt. Louis
Period9/28/0310/1/03

Keywords

  • Communication channels
  • Covariance matrix
  • Data communication
  • Delay estimation
  • Downlink
  • Feedback
  • Parameter estimation
  • Signal design
  • Time varying systems
  • Watermarking

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Applied Mathematics
  • Signal Processing
  • Computer Science Applications

Fingerprint

Dive into the research topics of 'Embedded-signal design for channel parameter estimation part I: Linear embedding'. Together they form a unique fingerprint.

Cite this