Abstract:
This paper propose a fast, matched-filtered based imaging algorithm to detect below ground object To image below ground objects, a set of distributed transmitters and receivers are placed above the ground, or slightly buried. These transmitters radiate waveforms into the subsurface. The resulting wavefront impinges upon underground objects, scattering electromagnetic energy in all directions. Receivers collects the reflected electromagnetic signal, retrieve the phasor of the scattered signals, and transmit this information to systems for post-processing. After applying adaptive signal processing algorithms to collected data, an image of the buried objects can be reconstructed. Reconstructed 2D of buried objects are computed via numerical discretization and match filtering techniques. Match filtering technique is faster and it reduces computational power that required to process the collected data. The matched-filtered approach is easier to implement as compared to matrix inversion. Results from simulation analysis are used to validate this method.