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Direction-of-Arrival Estimation in Spherically Isotropic Noise
Linnaeus University, Faculty of Technology, Department of Physics and Electrical Engineering.
2013 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Today the multisensor array signal processing of noisy measurements has received much attention. The classical problem in array signal processing is determining the location of an energy-radiating source relative to the location of the array, in other words, direction-of-arrival (DOA) estimation. One is considering the signal estimation problem when together with the signal(s) of interest some noise and interfering signals are present.

In this report a direction-of-arrival estimation system is described based on an antenna array for detecting arrival angles in azimuth plane of signals pitched by the antenna array. For this, the Multiple Signal Classication (MUSIC) algorithmis first of all considered. Studies show that in spite of its good reputation and popularity among researches, it has a certain limit of its performance. In this subspace-based method for DOA estimation of signal wavefronts, the term corresponding to additive noise is initially assumed spatially white. In our paper, we address the problem of DOA estimation of multiple target signals in a particular noise situation - in correlated spherically isotropic noise, which, in many practical cases, models a more real context than under the white noise assumption.

The purpose of this work is to analyze the behaviour of the MUSIC algorithm and compare its performance with some other algorithms (such as the Capon and the Classical algorithms) and, uppermost, to explore the quality of the detected angles in terms of precision depending on different parameters, e.g. number of samples, noise variance, number of incoming signals. Some modifications of the algorithms are also done is order to increase their performance.

Program MATLAB is used to conduct the studies. The simulation results on the considered antenna array system indicate that in complex conditions the algorithms in question (and first of all, the MUSIC algorithm) are unable to automatically detect and localize the DOA signals with high accuracy. Other algorithms andways for simplification the problem (for example, procedure of denoising) exist and may provide more precision but require more computation time.

Place, publisher, year, edition, pages
2013. , 46 p.
Keyword [en]
DOA estimation, spherically isotropic noise, sample, covariance matrix, noise variance, orthogonal complement, subspace methods, MUSIC, Capon, eigenvalue decomposition
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:lnu:diva-28603OAI: oai:DiVA.org:lnu-28603DiVA: diva2:644583
Subject / course
Electrical Engineering
Educational program
Electrical Engineering with specialisation in Signal Processing & Wave Propagation, Master Programme, 120 credits
Presentation
2013-08-19, D1170, Universitetsplatsen 1, 352 52 VÄXJÖ, 14:15 (English)
Supervisors
Examiners
Available from: 2013-09-03 Created: 2013-08-30 Last updated: 2014-01-21Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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