Compressed sensing for the detection of moving targets from short sequences of pulses: Special section "sparse reconstruction in remote sensing"

The detection of ground moving targets from Mp ≈ 100 pulses of multichannel radar data allows the surveilance of wide areas. In this paper, their sparse distribution is utilized to produce a reconstruction of an angle-Doppler matrix using two different compressed sensing approaches - l1-relaxation and smoothed L0. For an exemplary set of real data, the targets are detected and presented in a map of the scenery.