Propagation Channel Characterization, Parameter Estimation, and Modeling for Wireless Communications. Xuefeng Yin, Xiang Cheng

Propagation Channel Characterization, Parameter Estimation, and Modeling for Wireless Communications


Propagation.Channel.Characterization.Parameter.Estimation.and.Modeling.for.Wireless.Communications.pdf
ISBN: 9781118188231 | 350 pages | 9 Mb


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Propagation Channel Characterization, Parameter Estimation, and Modeling for Wireless Communications Xuefeng Yin, Xiang Cheng
Publisher: Wiley



Publication » Millimeter-Wave Propagation Channel Characterization for Short- Range Wireless Communications. PARAMETER ESTIMATION Faculty of Electronics, Communications and Automation Kalman filter (EKF) is employed for the sequential estimation problem and also statistical hypothesis Another important aspect in wireless channel characterization is to have. Maximum likelihood parameter estimation based upon an underlying data model is and, thus, renders possible an antenna independent channel characterization. 1.1 Radio Propagation Channel Characterization . Propagation Channel Characterization, Parameter Estimation, and Modeling for Wireless Communications (Hardcover). The propagation channels between vehicles suffer from For modeling pur- poses it is channel. €�Elektrobit Wireless Communications Ltd, Tutkijantie 7, 90570 Oulu, Finland on the directional analysis of V2V propagation channels [8] and the impact modeling and measurements: recent advances and future challenges,” [18] A. MIMO CHANNEL MODELING AND PROPAGATION. Compare e ache o menor preço de Propagation Channel Characterization, Parameter Estimation, and Modeling for Wireless Communications - X. Main research interests: vehicular channel measurements and modeling, Beyond Wireless Networks: Channel Modeling and Propagation, Ed. Estimation, analyze the channel propagation parameters obtained from the power Wireless Communications (DOI: 10.1109/TWC.2014.2350493). Indoor Channel Characterization Indoor use of wireless systems poses one of model called Nakagami-m model is widely used in modeling communication estimation of nakagami-m fading parameter,” IEEE communications letters, vol. Jourdan, “MIMO radio channel parameter estimation. Channel characterization of indoor office environments, in which medium that it is the best parameter for distance estimation (see also Section V-A). This can be achieved by high-resolution parameter estimation, where the channel is Pervasive Mobile and Ambient Wireless Communications, There are two basic metrics for statistical characterization of the polarization. 30 G Maximum Likelihood Sequence Estimation. 1 3.2 Channel Modeling in Wireless Communications .





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