Recent work with Wideband Electromagnetic Induction (WEMI) sensors has shown that a low-rank model can be used to exploit the measurements. The low-rank model has led to a new filterless processing framework for frequency-domain WEMI sensors, where projection operators can be used in both the frequency and spatial dimensions of the data. Previous work has used a single subspace from the projected measurements to perform target detection, classification, and localization. This work investigates the eight remaining measurement subspaces created by the projection operators and how they can be exploited to extract more information for WEMI processing.
Charles Ethan Hayes, Waymond R. Scott, and James H. McClellan, "Exploiting measurement subspaces for wideband electromagnetic induction processing," Proc. SPIE 10628, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXIII, 106280M (Presented at SPIE Defense + Security: April 17, 2018; Published: 30 April 2018); https://doi.org/10.1117/12.2305169.
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