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Eigenvalue pairing for direction fin...

Martin, Kyle T.

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Eigenvalue pairing for direction finding with vector sensor arrays.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Eigenvalue pairing for direction finding with vector sensor arrays./
作者:	Martin, Kyle T.
面頁冊數:	83 p.
附註:	Source: Masters Abstracts International, Volume: 51-05.
Contained By:	Masters Abstracts International51-05(E).
標題:	Engineering, Electronics and Electrical. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1535742
ISBN:	9781303024696

Eigenvalue pairing for direction finding with vector sensor arrays.
Martin, Kyle T.

Eigenvalue pairing for direction finding with vector sensor arrays. - 83 p.

Source: Masters Abstracts International, Volume: 51-05.

Thesis (M.S.)--University of Rhode Island, 2013.

This thesis introduces a novel sorting pairing method for the azimuth-elevation estimates obtained from the Estimation of Signal Parameters via Rotational In- variance Techniques (ESPRIT) based closed-form source localization algorithm. The ESPRIT algorithm estimates Direction of Arrival (DOA) angles from a given source using arbitrarily spaced three-dimensional arrays of vector sensors, whose locations need not be known. In estimating the DOAs there can be miss-pairings of DOA azimuth and elevation direction cosines in certain cases. In such cases, the incident angles calculated can be permuted which produces miss matching of angles or misses. The sorting pairing method presented exploits the order of eigenvalues and thereby the DOAs estimated from the ESPRIT algorithm. The sorting pairing method is compared to two other pairing methods: the traditional pairing method, a method that is simplistic in nature when dealing with misses; and the exhaustive pairing method, a method that exhaustively attempts to find the eigenvalue pairing that yields the least amount of error. Simulation results provides strong evidence that the sorting pairing method gives good results over a much larger range of signal-to-noise ratios than the traditional method, and has an accuracy that is nearly co-linear with the exhaustive method.

ISBN: 9781303024696Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

Eigenvalue pairing for direction finding with vector sensor arrays.
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500 $a Source: Masters Abstracts International, Volume: 51-05.
500 $a Adviser: Richard J. Vaccaro.
502 $a Thesis (M.S.)--University of Rhode Island, 2013.
520 $a This thesis introduces a novel sorting pairing method for the azimuth-elevation estimates obtained from the Estimation of Signal Parameters via Rotational In- variance Techniques (ESPRIT) based closed-form source localization algorithm. The ESPRIT algorithm estimates Direction of Arrival (DOA) angles from a given source using arbitrarily spaced three-dimensional arrays of vector sensors, whose locations need not be known. In estimating the DOAs there can be miss-pairings of DOA azimuth and elevation direction cosines in certain cases. In such cases, the incident angles calculated can be permuted which produces miss matching of angles or misses. The sorting pairing method presented exploits the order of eigenvalues and thereby the DOAs estimated from the ESPRIT algorithm. The sorting pairing method is compared to two other pairing methods: the traditional pairing method, a method that is simplistic in nature when dealing with misses; and the exhaustive pairing method, a method that exhaustively attempts to find the eigenvalue pairing that yields the least amount of error. Simulation results provides strong evidence that the sorting pairing method gives good results over a much larger range of signal-to-noise ratios than the traditional method, and has an accuracy that is nearly co-linear with the exhaustive method.
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