Collaborative Forward-Looking Imaging And Reconnaissance Technology For Manned/Unmanned Aerial Vehicles

With the imaging advantage of bistatic forward-looking synthetic aperture radar, collaborative forward-looking imaging and reconnaissance technology for manned/unmanned aerial vehicles could be performed, in which unmanned aerial vehicle can realise two-dimensional (2-D) and high-resolution imaging and further attacking targets in its straight-ahead position. However, there exists more complicated space-variance property in this special configuration than traditional mono-static SAR. Such property will lead to performance deterioration of imaging if not corrected effectively. To address this problem, 2-D frequency spectrum with high precision is first obtained based on squint minimisation method here, and then a novel-phase space-variance correction method is developed through polynomial fitting. Imaging focus performance on targets could be improved significantly with authors' method. Several simulations for scattering targets confirm its validity.