Determination of mobile localization with time of arrival (TOA) signal is a requirement in cellular mobile communication. In some of the previous methods, localization with non-line-of-sight (NLOS) paths can lead to large position error. Also for simplicity, in most simulations suppose non stationary actual environments as stationary. This paper proposes (residual test + recursive least square) ((RT+RLS)) that has a good application in non stationary environments. In this algorithm, residual test (RT) that can simultaneously determine the number of line- of-sight (LOS) base stations (BSs) and identify them. In simulation studies, the RT can determine the correct number of LOS-BS over 90% of the time. Then using TOA signals obtain these BSs as input of RLS algorithms and estimate mobile position in high attention and low calculation.
Shabestari, P., & Kahaei, M. (2009). Adaptive Mobile Localization in Residual Test Method. University College of Engineering, 43(5), 659-667.
MLA
Parna Shabestari; Mohammadhosein Kahaei. "Adaptive Mobile Localization in Residual Test Method", University College of Engineering, 43, 5, 2009, 659-667.
HARVARD
Shabestari, P., Kahaei, M. (2009). 'Adaptive Mobile Localization in Residual Test Method', University College of Engineering, 43(5), pp. 659-667.
VANCOUVER
Shabestari, P., Kahaei, M. Adaptive Mobile Localization in Residual Test Method. University College of Engineering, 2009; 43(5): 659-667.
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