Building and Evaluating a 3D Scanning System for Measurementsand Estimation of Antennas and Propagation Channels
Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Wireless communications rely, among other things, on theunderstanding of the properties of the radio propagationchannel, the antennas and their interplay. Adequate measurementsare required to verify theoretical models and togain knowledge of the channel behavior and antenna performance.As a result of this master thesis we built a 3D fieldscanner measurement system to predict multipath propagationand to measure antenna characteristics. The 3Dscanner allows measuring a signal at the point of interestalong a line, on a surface or within a volume in space. In orderto evaluate the system, we have performed narrowbandchannel sounding measurements of the spatial distributionof waves impinging at an imaginary spherical sector. Datawas used to estimate the Angle-of-Arrivals (AoA) and amplitudeof the waves. An estimation method is presented tosolve the resulting inverse problem by means of regularizationwith truncated singular value decomposition. The regularizedsolution was then further improved with the helpof a successive interference cancellation algorithm. Beforeapplying the method to measurement data, it was testedon synthetic data to evaluate its performance as a functionof the noise level and the number of impinging waves. Inorder to minimize estimation errors it was also required tofind the phase center of the horn antenna used in the channelmeasurements. The task was accomplished by directmeasurements and by the regularization method, both resultsbeing in good agreement.
Place, publisher, year, edition, pages
2012. , 104 p.
EES Examensarbete / Master Thesis, XR-EE-ETK 2012:010
3D field scanner, radio propagation channel, virtual array, MIMO, Angle-of-Arrival, regularization, inverse problem, L-curve, truncated singular value decompositions, successive interference cancellation, horn antenna, phase center.
Electrical Engineering, Electronic Engineering, Information Engineering
IdentifiersURN: urn:nbn:se:kth:diva-104802OAI: oai:DiVA.org:kth-104802DiVA: diva2:567438
Subject / course
Master of Science in Engineering - Electrical Engineering
Glazunov, Andrés AlayonFuks, Peter
Norgren, Martin, Univ lektor