---
abstract: "In this paper, an improved distributed estimation scheme for static sensor networks is developed. The scheme is developed for environmental time-variant physical variables. The main contribution of this work is that the algorithm in [1]-[3] has been extended, and a filter has been designed with weights, such that the variance of the estimation errors is minimized, thereby improving the filter design considerably\r\nand characterizing the performance limit of the filter, and thereby tracking a time-varying signal. Moreover, certain parameter optimization is alleviated with the application of a particular finite impulse response (FIR) filter. Simulation results are showing the effectiveness of the developed estimation algorithm."
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creators_id:
  - ~
  - harism.khalid@yahoo.com
  - ~
creators_name:
  - family: Mahmoud
    given: Magdi S.
    honourific: Professor
    lineage: ''
  - family: Khalid
    given: 'Haris M. '
    honourific: 'Dr. '
    lineage: ''
  - family: Sabih
    given: 'Muhammad '
    honourific: 'Mr. '
    lineage: ''
date: 2011-12
date_type: submitted
datestamp: 2013-05-04 23:07:19
department: ~
dir: disk0/00/00/89/08
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editors_id: []
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eprint_status: archive
eprintid: 8908
fileinfo: /style/images/fileicons/application_pdf.png;/8908/1/MsM-KFUPM-HK-MS%5BR-III%5D.pdf
full_text_status: public
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item_issues_resolved_by: []
item_issues_status: []
item_issues_timestamp: []
item_issues_type: []
keywords: 'Distributed estimation, static sensor networks, minimum variance, performance limit, parameter optimization, estimation algorithm, time-variant.'
lastmod: 2013-05-04 23:07:19
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longitude: ~
metadata_visibility: show
note: ~
number: ~
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pubdom: TRUE
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refereed: TRUE
referencetext: ~
relation_type: []
relation_uri: []
reportno: ~
rev_number: 8
series: ~
source: ~
status_changed: 2013-05-04 23:07:19
subjects:
  - comp-sci-mach-dynam-sys
succeeds: ~
suggestions: ~
sword_depositor: ~
sword_slug: ~
thesistype: ~
title: "Improved Distributed Estimation Method for Environmental\r\ntime-variant Physical variables in Static Sensor Networks"
type: preprint
userid: 19829
volume: ~
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