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Hier finden Sie wissenschaftliche Publikationen aus den FraunhoferInstituten. Improved Linear Direct Solution for Asynchronous Radio Network Localization (RNL)
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Postprint urn:nbn:de:0011n4669924 (617 KByte PDF) MD5 Fingerprint: 30b108fae32e786607277875800308ef Created on: 28.9.2017 
 Institute of Navigation ION, Manassas/Va.: ION 2017 Pacific PNT Meeting. Proceedings : May 1  4, 2017 Marriott Waikiki Beach Resort & Spa, Honolulu, Hawaii Fairfax/Va.: ION, 2017 pp.376382 
 Pacific PNT Meeting <2017, Honolulu/Hawaii> 

 English 
 Conference Paper, Electronic Publication 
 Fraunhofer IOSB () 
Abstract
The linear least square solution is frequently used in the field of localization. Compared to nonlinear solvers, this solution is more affected by noise but able to provide a position estimation without knowing any starting condition. The linear least square solution is able to minimize Gaussian noise by solving an overdetermined equation with the MoorePenrose pseudoinverse. Unfortunately, this solution fails in the case of nonGaussian noise. This publication presents a direct solution using prefiltered data for the LPM (RNL) equation. The input used for linear position estimation will not be the raw data but data filtered over time and for this reason this solution will be called the direct solution. It will be shown that the symmetrical direct solution presented is superior to the nonsymmetrical direct solution and in particular to the nonprefiltered linear least square solution.