UAV radar imaging for target detection

G. Ludeno; G. Fasano; A. Renga; G. Esposito; G. Gennarelli; C. Noviello; I. Catapano

doi:10.1117/12.2525364

21 June 2019 UAV radar imaging for target detection

G. Ludeno, G. Fasano, A. Renga, G. Esposito, G. Gennarelli, C. Noviello, I. Catapano

Proceedings Volume 11059, Multimodal Sensing: Technologies and Applications; 110590F (2019) https://doi.org/10.1117/12.2525364
Event: SPIE Optical Metrology, 2019, Munich, Germany

Abstract

The paper deals with subsurface imaging via radar systems mounted onboard aerial platforms. Specifically, the attention is focused on a radar prototype installed on a small unmanned aerial vehicle (S-UAV), previously proposed by few of the authors. In particular, the challenges in terms of electromagnetic modeling and flight dynamics knowledge and control are here tackled. In this frame, an ad-hoc designed data processing strategy is presented; this strategy involves a preprocessing step and a reconstruction step. The pre-processing is performed in time domain and, beyond filtering procedures commonly exploited in radar imaging, involves a procedure devoted to compensate flight altitude variations and to account for the S-UAV trajectory, which is estimated by processing measurements collected by an onboard GPS receiver. In addition, the reconstruction of the investigated scenario is performed by means of a microwave tomographic approach based on a linear model of the electromagnetic scattering and the concept of equivalent dielectric permittivity for the propagation path. This latter allows us to properly face the imaging of buried objects, while avoiding the mathematical complexity introduced by the presence of the air-medium interface. Accordingly, the imaging is faced as a linear inverse scattering problem formulated in the spatial domain similarly to the case of a homogeneous scenario and, thanks to the concept of equivalent permittivity, depth and horizontal position of buried objects are retrieved properly. This is corroborated by means of a numerical analysis accounting for synthetic data.

Conference Presentation

Citation Download Citation

G. Ludeno, G. Fasano, A. Renga, G. Esposito, G. Gennarelli, C. Noviello, and I. Catapano "UAV radar imaging for target detection", Proc. SPIE 11059, Multimodal Sensing: Technologies and Applications, 110590F (21 June 2019); https://doi.org/10.1117/12.2525364

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