Accurately characterizing antenna radiation patterns in the millimetre-wave (mmW) frequency range presents significant challenges due to the short wavelengths involved. A measurement system that incorporates a 6-axis robotic arm is implemented to gain more positional control over the antenna measurement. This thesis presents the software to control the system, including the robotic arm and a Vector Network Analyser, in a user-friendly manner. Additionally, it dives into the influence of the characteristics and movement of the robotic arm on the setup. To ensure reliability and maintainability of the codebase, the software was structured using several objects and data classes, each responsible for a specific part of the system. Tests of the system showed a solid foundation of the graphical user interface and the back-end software architecture. Analysis of the repeatability of the system revealed that results may deviate by magnitude differences of 0.8 dB and phase differences up to 30°. Compared to a calibrated position of the system, displacements in individual joints led to significant phase difference of up to 20°. There was no correlation found in deviations of magnitude or phase response and the settle time between the movements of the robot and the measuring of the VNA.

THz time-domain systems driven by photoconductive antennas (PCAs) promise a bandwidth of the order of hundreds of GHz. This characteristic can be utilized to build see-through radars with sub-mm resolution and a field of view comparable to the current mm-wave radars at a relatively low cost. These radars can solve the issues in the field of public safety and security. However, the analysis and design of a THz time-domain radar is a challenging and time-consuming task even at the preliminary level. In this work, a Matlab based GUI is built that serves as a one-stop solution for the THz time-domain radar design and analysis. The GUI has three interfaces, the first one is the “Transmitter interface” which implements the Norton equivalent circuit of the PCAs and quantifies its radiated THz power along with other important parameters of the PCA semiconductor gap such as the conductance and current across the gap, and the resistance of the gap. The second interface, known as the “QO Channel Analyzer interface”, of the GUI tool analyzes a pre-defined QO channel model to estimate the power loss in the channel and the power received at the receiver. The third interface is the “Main interface” which analyzes the detection and imaging-related parameters of the radar such as the resolution, field-of-view, detection bandwidth and integration time.