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We propose a multiobjective optimization (MOO) technique to design an orthogonal-frequency-division multiplexing (OFDM) radar signal for detecting a moving target in the presence of multipath reflections. We employ an OFDM signal to increase the frequency diversity of the system, as different scattering centers of a target resonate variably at different frequencies. Moreover, the multipath propagation...
We develop the application of compressive sensing (CS) for solving general inverse electromagnetic problems such as three-dimensional (3D) microwave imaging. The goal is to estimate locations of unknown, but sparse targets, hidden inside dielectric bodies. The potential of CS for localizing sparse targets in vacuum or buried in ground was shown in previous work. We extend the proposed schemes by considering...
We develop a near-field compressive sensing (CS) estimation scheme for localizing scattering objects in vacuum. The potential of CS for localizing sparse targets was demonstrated in previous work. We extend the standard far-field approach to near-field scenarios by employing the electric field integral equation to capture the mutual interference among targets. We show that the advanced modeling improves...
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