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Direction Finding: Determine the direction to a transmitter with randomly placed sensors
KTH, School of Electrical Engineering and Computer Science (EECS).
2019 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

There are a lot of stand-alone and mobile platforms using transmitters today. Some want to be found while others do not. In our modern society there is a great demand of mobility and communication abilities. This means that several mobile platforms could potentially carry a sensor to record incoming signals to be used in Direction Finding.

This thesis identifies the possibility to determine the direction to a transmitter with randomly placed sensors. By conducting a literature review well-known methods such as Time Difference Of Arrival (TDOA) and MUltiple SIgnal Classification (MUSIC) where chosen as methods in this analysis. The methods are applied on two antenna arrays, an Uniform Circular Array (UCA) and a Random Circular Array (RCA). The RCA is generated with randomly placed sensors. The performance in the Direction Of Arrival (DOA) is investigated in presence of time synchronization error and with different numbers of elements, radius and Signal to Noise Ratio (SNR). The ambiguity in the arrays is also investigated to insure a ambiguity-free DOA estimation.

The results from this analysis identifies that the accuracy in the DOA estimation is dependent on the number of elements, SNR, the elements positions and the radius of the DF array. Furthermore, the accuracy of a UCA is greater than a RCA when the elements are randomly distributed within the area of a circle with radius R. Finally, it has shown that if time synchronization error occurs between the sensors, then the MUSIC method the accuracy will decrease greatly.

Abstract [sv]

Det finns många individer och mobila platformar som använder sändare idag. Vissa vill bli hittade, andra inte. I vårat moderna samhälle är det en stor efterfrågan på rörlighet och kommunikationsmöjligheter. Detta innebär att många mobila plattformar skulle kunna spela in signaler för att användas i radiopejling.

Denna uppsats identifierar möjligheten att bestämma riktningen till en sändare med slumpmässigt placerade sensorer. Genom litteraturstudien identifierades de välkända riktningsmetoder som Time Difference Of Arrivial (TDOA) och MUltiple SIgnal Classification (MUSIC) som vidare valdes som metoder i denna analys. Två antennstrukturer används i analyserna. Den ena är en Uniform Circular Array (UCA) och den andra är en Random Circular Array (RCA). RCA är genererad med slumpmässigt utplacerade sensorer. Prestandan i riktningsuppskattningen undersöks när det existerar ett tidssynkroniseringsfel, olika antal sensorer i antennstrukturerna, varierande radier och olika signaloch brusförhållanden.Ä ventvetydigheter undersöks i strukturerna för att säkerställa att en entydig riktningsbestämning kan utföras.

Resultaten implicerar att noggrannheten i riktningsbestämningen är beroende avantalet element, SNR, elementens position och radien i antennmatrisen. Utöver detta visar resultaten att en UCA har högre noggrannhet än en RCA då elementen är slumpmässigt utplacerade inom en cirkelradie, R. Slutligen, om tidssynkroniseringsfel uppstår mellan sensorerna kommer detta resultera i minskad noggrannhet när MUSIC metoden tillämpas.

Place, publisher, year, edition, pages
2019. , p. 62
Series
TRITA-EECS-EX ; 2019:50
Keywords [en]
Direction Finding, TDOA, MUSIC, UCA, Random Array, DOA
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-253204OAI: oai:DiVA.org:kth-253204DiVA, id: diva2:1324237
Educational program
Master of Science - Electrophysics
Supervisors
Examiners
Available from: 2019-06-13 Created: 2019-06-13 Last updated: 2019-07-09Bibliographically approved

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