Abstract: Passive multistatic radar imaging algorithm is proposed on the basis of compressed sensing since a image scene usually has a few scattering centers. First, this method is used to construct a reasonable Fourier sparse basis matrix via the prior information constrained by the statistical property of SAR image. Then, the point\|enhanced problem is transformed into the optimization problem by the using lp norm method. Finally, a fast recursive algorithm is presented to solve the optimization problem. Numerical simulation shows the method has good imaging performance without the request of enough stations under the location of small rotating angle.

Key words: Passive radar imaGing, Multistatic radar, Sparsity, Compressed sensing