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. H. (2013). مکان یابی وفقی موبایل به روش آزمون باقیمانده. Journal of Algorithms and Computation, 43(5), 659-667. doi: 10.22059/jac.2013.7727
MLA
Parna Shabestari; Mohammad Hossein Kahaei. "مکان یابی وفقی موبایل به روش آزمون باقیمانده". Journal of Algorithms and Computation, 43, 5, 2013, 659-667. doi: 10.22059/jac.2013.7727
HARVARD
Shabestari, P., Kahaei, M. H. (2013). 'مکان یابی وفقی موبایل به روش آزمون باقیمانده', Journal of Algorithms and Computation, 43(5), pp. 659-667. doi: 10.22059/jac.2013.7727
VANCOUVER
Shabestari, P., Kahaei, M. H. مکان یابی وفقی موبایل به روش آزمون باقیمانده. Journal of Algorithms and Computation, 2013; 43(5): 659-667. doi: 10.22059/jac.2013.7727
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