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Comparison of Linear-Correction Spherical-Interpolation Location Methods in Multi-Sensor Environments

In indoor environment, the multi-sensor system can be used as an efficient solution for target location process, in terms of lower estimation cost, due to the factor that sensors have the advantages of low power, simple, cheap, and low operation complexity. However, the location methods and the placements of designed multisensor have great impact on the location performance. Based on the time difference of arrival (TDOA), the present research utilizes linear-correction spherical-interpolation (LCSI) method to estimate the location of its targets. The method is a combination of the linear-correction least-squares
method and the spherical-interpolation method. Apart from the usual process of iterative, nonlinear minimization, and consequently, under the influence of noise interference and target-sensor geometry, the spherical-interpolation method will produce better results; therefore, SI method is used in place of the LS part of the LCLS method and named as the LCSI method. The objective is to correct the SI method to generate a better estimate performance. In addition to the performance issues, the limitation of the methods will also be examined. The geometric dilution of precision (GDOP) of the TDOA location method in the
3-D scenario is demonstrated with the effects on location performance of both inside and outside of the multi-sensor formation. Programmed 3-D scenario are used in the simulations, where cases with three
different multiple sensor formations and two different target heights are investigated. From the simulation results of various location methods, it can be seen
that LCSI has has its advantages over other methods in the wireless TDOA location.

Identiferoai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0822107-191723
Date22 August 2007
CreatorsYu, Cheng-lung
ContributorsJiann-Der Lee, Shiunn-Jang Chern, Tsung-Cheng Wu, Chin-Der Wann
PublisherNSYSU
Source SetsNSYSU Electronic Thesis and Dissertation Archive
LanguageCholon
Detected LanguageEnglish
Typetext
Formatapplication/pdf
Sourcehttp://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0822107-191723
Rightsnot_available, Copyright information available at source archive

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