Spaceborne-airborne multistatic synthetic aperture radar (SA-MuSAR) has the ability to provide high-resolution forward-looking imagery for receivers, but it relies on careful design of the geometric configuration (GC).In this article, a forward-looking GC optimization design method is proposed to obtain Clipboard a high-quality fused image with limited observation time.First, the relationship between the spatial resolution and GC is illustrated by the wavenumber spectrum distribution of SA-MuSAR.
Second, GC evaluators depending on the distribution of multiple wavenumber spectrum data are proposed.The GC design problem of coherent SA-MuSAR is transformed into a constrained multiobjective optimization problem.An intelligent evolutionary algorithm Dripper Pots/Carafes is adopted to optimize the wavenumber spectrum distribution.
With the proposed method, high-quality forward-looking imagery can be obtained with a short observation time.Numerical simulations are carried out to verify the effectiveness of the proposed method.