PROJECT TITLE :

Multipath Ghosts in Radar Imaging: Physical Insight and Mitigation Strategies

ABSTRACT:

Most algorithms commonly exploited for radar imaging are based on linear models that describe only direct scattering events from the targets in the investigated scene. This assumption isn't verified in sensible eventualities where the objects to be imaged interact with every other and with surrounding setting manufacturing undesired multipath signals. These signals manifest in radar pictures as “ghosts" that typically impair the reliable identification of the targets. The recent literature in the sector is trying to supply appropriate techniques for multipath suppression from one aspect and from the other facet is that specialize in the exploitation of the extra data conveyed by multipath to enhance target detection and localization. This work addresses the primary downside with a selected specialize in multipath ghosts caused by target-to-target interactions. In specific, the study is performed regarding metallic scatterers by means of the linearized inverse scattering approach based mostly on the physical optics (PO) approximation. A straightforward model is proposed in the case of purpose-like targets to realize insight into the ghosts problem thus as to plot possible measurement and processing strategies for his or her mitigation. Finally, the effectiveness of those strategies is assessed by reconstruction results obtained from full-wave artificial information.


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