Forward-Looking Geometric Configuration Optimization Design for Spaceborne-Airborne Multistatic Synthetic Aperture Radar

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 geometric configuration (GC). In this article, a GC optimization method is proposed obtain high-quality fused image with limited observation time. First, relationship between spatial resolution and illustrated by wavenumber spectrum distribution SA-MuSAR. Second, evaluators depending multiple data are proposed. The problem coherent SA-MuSAR transformed into constrained multiobjective problem. An intelligent evolutionary algorithm adopted optimize distribution. With method, can be obtained short Numerical simulations carried out verify effectiveness method.