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Position location in wireless MIMO c...

Li, Ji.

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Position location in wireless MIMO communication systems.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Position location in wireless MIMO communication systems./
作者:	Li, Ji.
面頁冊數:	114 p.
附註:	Source: Dissertation Abstracts International, Volume: 69-03, Section: B, page: 1835.
Contained By:	Dissertation Abstracts International69-03B.
標題:	Engineering, Electronics and Electrical. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=NR37129
ISBN:	9780494371299

Position location in wireless MIMO communication systems.
Li, Ji.

Position location in wireless MIMO communication systems. - 114 p.

Source: Dissertation Abstracts International, Volume: 69-03, Section: B, page: 1835.

Thesis (Ph.D.)--Ecole Polytechnique, Montreal (Canada), 2008.

The rapid growth in demand for location based service has encouraged research into improving the performance of mobile location systems. A promising approach to achieve this goal is the use of antenna array at both the transmitter and receiver sides. Such multiple-input multiple-output (MIMO) communication systems operate by exploiting the spatial properties of the multipath channel, thereby offering new information which can be used to enhance communication performance. In a wireless MIMO system, the parameters such as angle of arrival, angle of departure and delay of arrival of the multipath signals can be estimated using advanced array signal processing techniques.

ISBN: 9780494371299Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

Position location in wireless MIMO communication systems.
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245 1 0 $a Position location in wireless MIMO communication systems.
300 $a 114 p.
500 $a Source: Dissertation Abstracts International, Volume: 69-03, Section: B, page: 1835.
502 $a Thesis (Ph.D.)--Ecole Polytechnique, Montreal (Canada), 2008.
520 $a The rapid growth in demand for location based service has encouraged research into improving the performance of mobile location systems. A promising approach to achieve this goal is the use of antenna array at both the transmitter and receiver sides. Such multiple-input multiple-output (MIMO) communication systems operate by exploiting the spatial properties of the multipath channel, thereby offering new information which can be used to enhance communication performance. In a wireless MIMO system, the parameters such as angle of arrival, angle of departure and delay of arrival of the multipath signals can be estimated using advanced array signal processing techniques.
520 $a In this work, we first developed a bidirectional beamforming MIMO channel model which includes physical multipath propagation parameters. After rearranging the estimated channel response by a vectorization scheme, we propose a subspace based approach to jointly estimate the parameters of the multipath signal in MIMO communication systems. The novel approach uses a collection of estimates of a space time manifold vector of the channel which utilizes a Khatri-Rao product to transform the estimated channel response matrix into the classical model. Two Maximum Likelihood methods are derived, and a MUSIC like method is proposed to achieve high resolution of channel parameters. The Cramer-Rao lower bound and simulation results are also provided.
520 $a Based on the estimated multipath signal parameters in the context of a MIMO channel, we propose a novel approach to determine the position of mobile stations using only one Base Station. This approach intends to minimize the error occurring from the estimation of multiple paths and gives an optimal estimation of the position of mobile station by simultaneously calculating a set of nonlinear algebraic position equations. The mean square error is measured to demonstrate the performance of the proposed algorithm. The Cramer-Rao lower bound is also derived and compared with the measured MSE. This solution breaks the bottleneck of conventional mobile positioning systems which have to require multi-lateration of at least three base stations. In addition, since this solution takes advantage of the multipath propagation environment, it works well under NLOS environment, the major problem posed by classical trilateration location schemes.
590 $a School code: 1105.
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