Landmine detection with GPR using super resolution signal processing algorithm

In this paper, ground-penetrating radar (GPR), which has the capability to detect non-metal and plastic mines, is proposed to detect and discriminate antipersonnel (AP) landmines. SFCW (Stepped Frequency Continuous Wave) radar, which is based on vector network analyzer, is utilized for metal and plastic landmine detection and its performance is investigated. Since signal processing is vital for target reorganization and clutter rejection, we categories the signal processing method into two phases. In first phase, the numbers of the frequency domain radar data traces underwent CPM (Combined Processing Method) to obtain two dimensional time domain data. CPM is a method of combining the time domain results of MUSIC (Multiple Signal Classification) and IFFT (inverse Fast Fourier Transform) to achieve a good tradeoff between high resolution and a high precision signal level. In second phase, the two-dimensional time domain data was processed by SAR (Synthetic Aperture Radar) method to obtain the three dimensional image of the landmine.