Experimental UWB indoor channel characterization in stationary and mobility scheme

• Main Authors: Al-Samman, A. M., Rahman, T. A., Hadri, M., Khan, I., Chua, T. H.
• Format: Article
• Published: Elsevier B.V. 2017
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/76943/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85026740867&doi=10.1016%2fj.measurement.2017.07.053&partnerID=40&md5=1b3f9189a324f42680d635aa260cc5f4
• Institution: Universiti Teknologi Malaysia

In this paper, the UWB channel characterization is presented considering stationary and mobility scenarios in an indoor environment based on data collected through time domain measurements. The measurement is conducted along indoor corridor using UWB pulses with the frequency range of 3.1–5.3 GHz. First, the path loss model, specifically the log normal shadowing model, is used to characterize the UWB channels for large-scale. It is found that the path loss exponents for the studied stationary and mobility scenarios are almost the same. Secondly, the time dispersion parameters of root mean square (RMS) delay spread and mean excess (MN-EX) delay are applied for characterizing the multipath delay dispersion, while the parameter defined as multipath gain (MG) is computed to measure the strength of multipath component of UWB channels. For both stationary and mobility scenarios, it is found that the average values of time dispersion parameters are also similar. However, the MG mean value in mobility case outperforms the one in stationary case by 2.6 dB. An extensive analysis is performed to understand the correlation of the time dispersion parameters of RMS delay spread and MN-EX delay; and the MG with transmitter (TX)-receiver (RX) separation distance. In addition, the interdependencies between the time dispersion and MG parameters are also studied. The analysis results showed that the correlations and independencies of the studied parameters closely depend on the physical structure of the studied indoor environment. It is shown that the correlation between RMS delay spread and MG varies between 0.06 and 0.84 based on the physical structure of environment.