A constrained equalization scheme for mobile location in non-line-of-sight environments
نویسندگان
چکیده
Mobile location techniques in wireless communication networks have received significant attention in recent years. One of the main problems impeding accurate location estimation is non-line-of-sight (NLOS) propagation. In this paper, we propose a novel method by incorporating constrained optimization algorithm with an equalization scheme, where the weights are derived from root mean square delay spread, which is an environment-dependent parameter describing the multipath dispersion of radio channel. Since both the channel information and constrained condition are exploited, this method can improve the location accuracy as shown in the provided simulation results.
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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)...
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