Synthetic aperture radar imaging processing method in unmanned aerial vehicle cluster mode and application

Abstract

The invention belongs to the technical field of radar imaging, and discloses a synthetic aperture radar imaging processing method in an unmanned aerial vehicle cluster mode and application. A signal model in an unmanned aerial vehicle cluster one-transmitting multi-receiving mode is established, a high-altitude unmanned aerial vehicle transmits a linear frequency modulation signal, K unmanned aerial vehicles receive echoes, and SAR complex images observed by multiple unmanned aerial vehicles at different angles under the elliptical orthogonal polar coordinate system are obtained; coherent processing is conducted in a spatial dimension, sub-images observed at K angles are fused, fusion operation is conducted on every two adjacent sub-images to obtain a first-stage fused image result, recursive fusion for multiple times is conducted until a final high-resolution imaging result is obtained, recursion is ended, and finally, an imaging result under the elliptical orthogonal polar coordinate system is projected to a Cartesian coordinate system. According to the method, the survivability and continuous observation capability of SAR imaging of the unmanned aerial vehicle are improved, and the method is used for realizing multi-angle and all-directional investigation observation in a complex environment to form continuous and effective task execution capability.

Description

technical field [0001] The invention belongs to the technical field of radar imaging, and in particular relates to a synthetic aperture radar imaging processing method and application in a drone cluster mode. Background technique [0002] At present: Radar has the characteristics of all-weather, all-time and long-distance functions, and has a wide range of applications in military and civilian fields such as missile guidance, earth observation, disaster monitoring, and environmental protection. The new model of UAV clusters is an increasingly complex application The environment and actual needs provide new ideas. UAV swarms (UAV Swarm) have high specific invulnerability, low stand-alone cost, function distribution, parallel perception and high fault tolerance. In complex environments, they can continue to Efficiently provide multi-angle and all-round observation. It has good collaborative execution and battlefield survivability. [0003] Compared with the traditional singl...

AI Technical Summary

Problems solved by technology

Existing BP and FFBP are difficult to achieve efficient processing in two dimensions of time and space

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