Adaptive power spectral estimation using distributed wireless sensor networks

Hamed Nosrati*, Sayed Mostafa Taheri, Mousa Shamsi, Mohammd Hossein Sedaaghi

*Corresponding author for this work

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

Abstract

In this paper, we propose three different algorithms capable of facing spatio-temporal variations for parametric modeling and power spectral density (PSD) estimation using Wireless Sensor Networks (WSNs). To do this, we first validate the proposed algorithms using theoretical and mathematical formulations. Afterwards, employing simulation tasks supports the results. In the next compartment of the paper to illustrate the concepts, we analyze and compare the performance of these algorithms with each other and with simple PSD estimation using individual sensors, wherein there is no cooperation.

Original languageEnglish
Title of host publication2014 9th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages128-133
Number of pages6
ISBN (Print)9781479925810
DOIs
Publication statusPublished - 1 Jan 2014
Externally publishedYes
Event2014 9th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2014 - Manchester, United Kingdom
Duration: 23 Jul 201425 Jul 2014

Conference

Conference2014 9th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2014
CountryUnited Kingdom
CityManchester
Period23/07/1425/07/14

Keywords

  • Adaptive networks
  • Adaptive signal processing
  • Autoregressive process
  • Distributed estimation
  • Power spectral estimation
  • Wireless sensor networks

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