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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
URN: urn:nbn:se:lnu:diva-46583OAI: diva2:858418
Subject / course
Electrical Engineering
Educational program
Electrical Engineering with specialisation in Signal Processing & Wave Propagation, Master Programme, 120 credits
2015-09-10, DV0070, Växjö, 13:15 (English)
Available from: 2015-10-02 Created: 2015-10-02 Last updated: 2015-10-02Bibliographically approved

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