Abstract-In this paper, the performance of the separated-aperture sensor working as ground-penetrating radar (GPR) is assessed over the operating frequency band. The capability of the separatedaperture sensor to detect buried targets is examined by evaluating and comparing the electromagnetic coupling between the transmitting and receiving antennas in two cases: (i) when the system is placed over an empty ground and (ii) when it is placed over a ground inside which a practical target is buried at the proper depth. The finitedifference time-domain (FDTD) method is used for electromagnetic simulation.The results concerning the coupling between the transmitting and receiving antennas are presented considering various practical parameters such as the operating frequency, the electric properties of the ground soil and the buried target, and the depth at which the target is buried under the ground surface. It is shown that target detectability using the separated-aperture sensor is strongly dependent on all of the above parameters.

Radar detection procedures involve the comparison of the received signal amplitude to a threshold. In order to obtain a constant false-alarm rate (CFAR), an adaptive threshold must be applied reflecting the local clutter situation. This paper presents an intelligent CFAR technique based on comparing the performance of five existing CFAR processors at different target and clutter situations. The proposed intelligent CFAR processor selects the adaptive threshold which is calculated by the best CFAR processor for certain environmental condition. The selection criterion based on comparing the information contained in the guard cells to those contained in test and window cells. This comparison is done to differentiate between single target, multiple targets, and clutter transition situations. Performance comparison through the Receiver Operating Characteristic (ROC) is carried out to validate the superiority of the proposed CFAR technique at different target and clutter situations.

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Field Programmable Gate Arrays (FPGAs) are best suited for signal processing applications that require real-time processing. Therefore, it is preferred over DSP processors in implementing radar receivers that processes incoming continuous stream of data. In the past, implementing complex arithmetic operations in floating point representation was a monopoly on DSP processors and the designers had to work around the sequential nature of the DSP processor to make it suitable for real-time applications by using buffered and multi-clocking designs. But nowadays, the great advances in FPGA design technology minimized this design effort since it is capable of performing these complex algorithms in real time. This paper represents the design and implementation of an advanced radar signal processor for binary phase-coded pulsed radar incorporating a time range side lobes suppression technique on a single FPGA chip. The proposed hardware design includes a waveform generator, an advanced signal processing unit, and a built-in self-test (BIST). Design aspects and hardware details for each part is introduced thoroughly.

Radar detection procedures involve the comparison of the received signal amplitude to a threshold. In order to obtain a constant false-alarm rate (CFAR), an adaptive threshold must be applied reflecting the local clutter situation. This paper presents an intelligent CFAR technique based on comparing the performance of five existing CFAR processors at different target and clutter situations. The proposed intelligent CFAR processor selects the adaptive threshold which is calculated by the best CFAR processor for certain environmental condition. The selection criterion based on comparing the information contained in the guard cells to those contained in test and window cells. This comparison is done to differentiate between single target, multiple targets, and clutter transition situations. Performance comparison through the Receiver Operating Characteristic (ROC) is carried out to validate the superiority of the proposed CFAR technique at different target and clutter situations.