Interferometric three-dimensional imaging for spinning targets based on narrow-band radar

In this paper, a novel interferometric 3-D imaging algorithm for spinning targets is proposed based on narrow-band radar. The height information of the scatterer is estimated by the phase difference between the same scatterer in two 2-D images generated by two antennas at closely-separated elevation angles via narrow-band radar imaging algorithms. For imaging of rapidly spinning targets, however, spurious peaks appear due to azimuth sample deficiency. Furthermore, the compressed sensing theory is applied into interferometric 3-D imaging based on joint sparsity of two images. The simulation results have proved the validity of the proposed algorithm.