Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Applied estimation theory on power cable as transmission line.
Linnaeus University, Faculty of Technology, Department of Physics and Electrical Engineering.
2015 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This thesis presents how to estimate the length of a power cable using the MaximumLikelihood Estimate (MLE) technique by using Matlab. The model of the power cableis evaluated in the time domain with additive white Gaussian noise. The statistics havebeen used to evaluate the performance of the estimator, by repeating the experiment fora large number of samples where the random additive noise is generated for each sample.The estimated sample variance is compared to the theoretical Cramer Raw lower Bound(CRLB) for unbiased estimators. At the end of thesis, numerical results are presentedthat show when the resulting sample variance is close to the CRLB, and hence that theperformance of the estimator will be more accurate.

Place, publisher, year, edition, pages
2015. , 37 p.
Keyword [en]
CRLB, MVUE, MLE, Impulse response, Fisher information, MSE, RMSE, Transmission line.
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:lnu:diva-46583OAI: oai:DiVA.org:lnu-46583DiVA: diva2:858418
Subject / course
Electrical Engineering
Educational program
Electrical Engineering with specialisation in Signal Processing & Wave Propagation, Master Programme, 120 credits
Presentation
2015-09-10, DV0070, Växjö, 13:15 (English)
Supervisors
Available from: 2015-10-02 Created: 2015-10-02 Last updated: 2015-10-02Bibliographically approved

Open Access in DiVA

fulltext(1474 kB)233 downloads
File information
File name FULLTEXT01.pdfFile size 1474 kBChecksum SHA-512
28db59eae6d3f54397b35a75d6327019786d377682b9e1098154190366912e059ebb6e24a132ad8aec1a3bf2aac99e024a8605636c41b42a2c6c7a2d168ad6ae
Type fulltextMimetype application/pdf

By organisation
Department of Physics and Electrical Engineering
Signal Processing

Search outside of DiVA

GoogleGoogle Scholar
Total: 233 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 68 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf