Graduation Semester and Year




Document Type


Degree Name

Master of Science in Electrical Engineering


Electrical Engineering

First Advisor

Qilian Liang


The indoor channel parameters appears different for Ultra Wide Band (UWB) systems than it does to narrow band systems. Generally UWB pulses are short and do not overlap in time like multipath sine waves. According to electromagnetic theory, lower frequencies have better penetrating properties. The combination of larger spectrum and lower frequencies possessed by UWB signals makes it easy to penetrate through walls, floors, doors, wood, ceilings, etc. This penetration property plays a very important role in indoor UWB communication system. This thesis presents the statistical analysis of large scale, small scale and time dispersal parameters in different wall corridor environments and through-the-walls (Gypsum wall) in indoor classroom environments. Channel modeling usually includes the characterization of different channel parameters like path loss, shadowing, multipath delay spread, and coherence bandwidth, multipath arrival times, average multipath intensity profile, received amplitude distribution of the multipath components. Different UWB channel models exists for indoor environment in literature. In this thesis, the Channel Impulse Response (CIR) of the environments are extracted from the CLEAN algorithm and with this CIRs and also able to extract other small scale and time dispersal channel parameters. The large scale parameters were also extracted and the path loss exponent was compared with different indoor environments. From the power decay profile, RMS delay, mean excess delay, and average RMS values were calculated. The variations in the parameter values and the distribution fits were analyzed and noted to better estimate the channel. The experiments were solely conducted in classroom 202-203 and corridors in Nedderman Hall, 2nd and 3rd floor at the University of Texas at Arlington. The experimental results have been discussed.


Electrical and Computer Engineering | Engineering


Degree granted by The University of Texas at Arlington