access icon openaccess Collaborative forward-looking imaging and reconnaissance technology for manned/unmanned aerial vehicles

This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
Received 20/02/2019, Accepted 02/05/2019, Published 30/05/2019

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.

Inspec keywords: synthetic aperture radar; remotely operated vehicles; Doppler radar; radar imaging; minimisation; autonomous aerial vehicles

Other keywords: imaging advantage; complicated space-variance property; traditional mono-static SAR; novel-phase space-variance correction method; reconnaissance technology; synthetic aperture radar; unmanned aerial vehicle; high-resolution imaging; imaging focus performance

Subjects: Optical, image and video signal processing; Optimisation techniques; Radar equipment, systems and applications; Mobile robots; Aerospace control

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