The automated systems for spectrum occupancy measurement and channel sounding in ultra-wideband, cognitive communication, and networking

A major revolution in wireless industry is now due, with the development of Ultra-Wideband, Cognitive Communication, and Networking. The goal of this thesis was to do spectrum occupancy and wideband channel sounding using automated system. In this work, the automated systems were developed using LabVIEW as a tool to control Spectrum analyzer, Vector Network Analyzer (VNA), and Digital Sampling Oscilloscope (DSO). Then, spectrum occupancy for CDMA, GSM, Wi-Fi, and DTV spectrum's was investigated, followed by field strength measurements for DTV signal. Frequency domain and Time domain channel sounding were performed and all results were shown.;Wideband waveform optimization for MISO cognitive radio using time reversal was performed. Wideband waveform was designed according to the optimization objective with the considerations of spectral mask constraint at the transmitter and the influence of Arbitrary Notch Filter at the receiver. The numerical results guide MISO time reversal a competent transmission scheme in the context of cognitive radio.;Also, Wideband waveform-level precoding with energy detector receiver had been studied. This work was a part of effort in searching for simple-receiver solutions with enhanced performance. Thanks to the empirical loss function, elegant analytical frame has been established, enabling derivation of closed-form optimization results. Numerical results showed that performance can be improved by a few decibels over the time reversal scheme with optimal integration window, meaning that time reversal is not the best waveform-level precoding for energy detector receiver. This research suggested that waveform-level precoding can significantly extend the communication range without consuming extra transmitted power.