Ground Penetrating Radar (GPR) utilizes electromagnetic waves to be transmitted
to the ground and have a non-destructive technique. In the detection process,
electromagnetic waves touch the surface clutter and then it will continue to underground
to detect the buried object. Ground reflected signal, called ground clutter, is
received along with target reflected signal that sometimes unwanted. Therefore, it
is important to reduce surface clutter to clarify the results of the reflection of buried
objects.
A vector network analyzer (VNA) is used as a GPR model with two antennas to
detect a buried object in the heterogeneous ground which a buried object is modelled
by a can. The frequency range of the VNA is 0.3–8000 MHz. The output of VNA
is raw data that is processed in software to get A-scan data at one point. Surface
clutter reduction is performed at all points taken by the averaging method. In this
experiment, object detection has two scenarios which are scenarios A and B where
the object is buried on 3 cm and 10 cm, respectively.
The result obtained after the surface clutter reduction process in scenario A is the
disruption of the hyperbolic signal from the object due to its position adjacent to the
surface clutter. Whereas in scenario B, the hyperbolic signal from the object is not
disturbed due to its position far from the surface clutter. However, the hyperbolic
signal of scenario A is clearer than scenario B. For scenario A, the accuracy that
obtained is 99.95% meanwhile the accuracy that achieves in scenario B is 99.728%.