Abstract:

The narrow bandwidth passive radar has the feature that the number of the non-uniform radiation sources is rare. This feature directly leads to a sparse and non-uniform spatial-spectral filling, which makes the conventional inverse fast Fourier transform (IFFT) and polar-coordinate method fail to get a good imaging performance. A novel passive imaging method is proposed for these features, and it fully takes advantage of the compressive sensing in signal recovery based on sparse and random sampling. The reconstruction performance of the target is analyzed by constructing the cross-correlation and cumulative coherence function of sensing matrixes. The theoretical analysis and simulation show the proposed method’s effectiveness especially in the process of passive radar imaging for sparse and random spatial-spectral filling.