Abstract
In this paper, an improved Omega-K SAR imaging algorithm is proposed by replacing inverse fast fourier transform with reweighted \( L_{1} \)-norm minimization method and iteratively reweighted least squares method in Omega-K algorithm. Given the advantages of sparse signal recovery, our method can yield lower sidelobes, better resolution and smaller noise. The results of simulated signals and real SAR data show that the proposed algorithms have better performance than Omega-K algorithm.
Full Text
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call