Abstract
In the wireless communication systems, time-varying multi-path propagation is a common phenomenon, which introduces a rich channel structure into the radio interface. On one hand, this phenomenon brings us precious time diversity and frequency diversity which are crucial for the survival of a wireless system. On the other hand, if we do not make a good use of the wireless channel information, this phenomenon will instead cause signal interference which results in various system problems in terms of signal synchronization error, channel estimation error, and data detection error. In other words, by exploring the wireless channel structure, we can obtain better signal synchronization, mitigate the system interference, and thus significantly improve accuracy of data detection. Therefore, when developing a wireless communication system, in order to guarantee high efficiency and outstanding performance of such a system, it is important to find out the wireless channel structure. In the indoor wireless channel measurement, the channel property usually differs a lot at different channel environments, which can be categorized into several types. In this thesis, we conduct numbers of measurements in several selected scenarios at Research-and-Development Building to realistically capture the channel structure in various wireless environments. A network analyzer is used to record the signal variations measured at different locations in the frequency domain. The measurements are then further analyzed to look into the delay spread caused by the effect of multipath propagation. We divide the analysis result into several distinct scenarios for various wireless communication environments so as to help make the best design of communication systems.