Radar Cross Section (RCS): study on the physical activity movements' signal of hamster with radar

This study is about measurement of the physical activity movements of a 4-months old female hamster by using lab-Volt Radar Training System in the Instrumentation and Signal Processing Lab, School of Science and Technology, Universiti Malaysia Sabah. The main objective of this study is to determine the possible of hamster's movement's estimation by the means of lab-Volt radar. It is also used to identify the reflected radar signals of hamster due to different physical activity movements. Fourier analysis is been done for this study in order to increase the signal-to-noise ratio (SNR). Frequency domain graphs are plotted by using the Fourier transform magnitude and the Fourier transform frequency. Two different activity movements of hamster, active movement and sleeping moment, were being observed along the experiment. Average intensity of physical activity signal of active hamster is 0.006044 where average intensity of physical activity signal of sleeping hamster is 0.003864. According to the result, radar signal reflected by the 4-months old female hamster when it is in active state is higher than when it is sleeping. It is because the hamster was moving around and sometimes it took vertical position. However, it is not moving at all while it is sleeping. Referring to the experiment that has been conducted, the radar signals between the hamster and the laboratory rat are different. The results are compared with the laboratory rat's radar signals detected by a bio-radar. The frequency domain graph of active hamster shows a slightly curve shape and the frequency domain graph of sleeping hamster is more flat. The results of the study of hamster's activity movements by using lab-Volts proved that different radar signals are recorded due to different physical activity movements of hamster. Besides different radar Signals are observed due to different living parameters but they shown similarities in the shape of the plotted graphs