Browsing by Author "Muff, Darren"

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    Imaging SAR phenomenology of concealed vibrating targets
    (IEEE, 2018-08-16) Corbett, Brandon; Andre, Daniel; Muff, Darren; Morrow, Ivor L.; Finnis, Mark V.
    This paper describes the novel imaging of SAR phenomena produced from vibrating targets with multipath effects. It has been established, through numerical SAR experiments, that different physical mechanisms interact to produce new artefacts. The computations demonstrated that the edges of a dielectric medium can act as a source for multipath effects to emanate from, leading to the hypothesis that SAR artefacts can arise from through-wall SAR imagery. This deduction and mechanism of origin were validated through several experimental measurements, undertaken at Cranfield University’s Antennas and Ground-based SAR laboratory, yielding results that closely match those predicted.
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    Synthetic Aperture Radar for Through-Wall Detection and Imaging of Complex Vibrating Targets
    (Cranfield University, 2017-11-15 11:56) Corbett, Brandon; Andre, Daniel; Muff, Darren; Morrow, Ivor; Finnis, Mark
    Poster presented at the 2017 Defence and Security Doctoral Symposium.Low frequency Synthetic Aperture Radar (SAR) is a proven solution for generating through-wall images, although obtaining a clear picture of the structure and contents of buildings has proven to be difficult. Whilst the effects created by moving objects within a SAR image have been investigated before, the complex effects moving objects have upon a SAR image when located behind a wall, are less known. This is especially the case when the motion of the object being imaged is of vibration and when multipath effects influence the artefacts produced within the SAR image. This occurs when the transmitted SAR microwaves reflect from other objects within the imaged scene, before being detected by the receive antenna. The research presented, investigates these complex SAR phenomena with multistatic radar geometries, using the Cranfield University Antennas and Ground Based SAR (AGBSAR) laboratory. This research is conducted in support of the Dstl Remote Intelligence of Building Interiors (RIBI) programme, and addresses the problem of the detection of running machinery within buildings, amongst other challenging scenarios.