3 Scopus citations

Abstract

A sensor network is used for distributed SNR estimation. Sensors observe a signal embedded in noise. These observations are phase modulated using a constant-modulus scheme and transmitted over a Gaussian multiple-access channel to a fusion center. At the fusion center, the location parameter and scale parameter are estimated using a minimum-variance estimator as well as computationally simple alternatives. Performance evaluated using the asymptotic variance of the estimators shows that the computationally simple estimators have the same asymptotic performance as the minimum-variance estimators. The optimal phase transmission parameters are also determined for different sensing noise distributions. Simulation results corroborate analytical results.

Original languageEnglish (US)
Title of host publication2011 Digital Signal Processing and Signal Processing Education Meeting, DSP/SPE 2011 - Proceedings
Pages24-29
Number of pages6
DOIs
StatePublished - 2011
Event2011 Digital Signal Processing and Signal Processing Education Meeting, DSP/SPE 2011 - Sedona, AZ, United States
Duration: Jan 4 2011Jan 7 2011

Publication series

Name2011 Digital Signal Processing and Signal Processing Education Meeting, DSP/SPE 2011 - Proceedings

Other

Other2011 Digital Signal Processing and Signal Processing Education Meeting, DSP/SPE 2011
Country/TerritoryUnited States
CitySedona, AZ
Period1/4/111/7/11

Keywords

  • Asymptotic Analysis
  • Covariance Matrix
  • Distributed Estimation
  • SNR Estimation
  • Wireless Sensor Networks

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Education

Fingerprint

Dive into the research topics of 'Distributed SNR estimation using constant modulus signaling over Gaussian multiple-access channels'. Together they form a unique fingerprint.

Cite this