Baseline Classification Based PCA on Human in Passive Forward Scattering Radar
Keywords:Forward Scatter Radar, Human, Passive, Principal Component Analysis,
AbstractFirst and foremost, one purpose of this radar is for detecting objects that passes through the system, whereby the detecting angle is near 180 degrees. Passive radar detects presence in terms of direction and speed of aircrafts, ships and other objects at receiver baseline, by receiving illumination source from a commercial transmitter. The system of radar consists of a receiver that functions to determine the properties of the passing object. There are many techniques that can be used in passive radar but in this study, the forward scattering technique is used for detecting human Doppler signature at receiver baseline to the classification system. A commercially available telecommunication antenna is used as the transmitter, which transmits electromagnetic wave that is received by a receiver antenna. We called this system passive radar because it does not emit any waves of its own. The data of Doppler signature is produced when an object passes through the transmitter and receiver. Then, the data received by the receiver is collected and analyzed using MATLAB software. The data collection was implemented near the seaside at Morib beach, Malaysia. We have identified the site as having a strong signal of LTE with a signal frequency of 1.8 GHz and 2.6 GHz.
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