Graduation Semester and Year
2015
Language
English
Document Type
Thesis
Degree Name
Master of Science in Electrical Engineering
Department
Electrical Engineering
First Advisor
Qilian Liang
Abstract
Ultra-wideband technology finds various applications in radar technology, medical imaging, see-through-wall applications, surveillance and short distance communication applications. All of these applications require that the behavior of the channel be estimated giving a priori information about the various attributes of the channel like path loss, delay spread, channel capacity and so on. These parameters are the key to design an effective communication infrastructure suitable for the needs of the application.In this thesis, the main aim was to model the channel and extract the various parameters related to the channel through data processing methods. In particular, a classroom environment was chosen and various scenarios were considered. Channel Impulse Responses (CIR) were extracted for the scenarios using the CLEAN algorithm, Empirical RMS delay spread and mean excess delay values were calculated from the CIR’s. Values for path loss exponent and shadowing are also calculated. Based on the measurement data, the RMS delay spread and path loss have been modeled based on the probability density functions (PDFs) and the best distribution fits are provided. obtain the best distribution fits. The results obtained are compared with existing standards.
Disciplines
Electrical and Computer Engineering | Engineering
License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Recommended Citation
Bangalore Krishnamurthy, Shruthishree, "Channel Estimation And Statistical Analysis Of Indoor Environment Using Ultrawideband Radio Technology" (2015). Electrical Engineering Theses. 240.
https://mavmatrix.uta.edu/electricaleng_theses/240
Comments
Degree granted by The University of Texas at Arlington