PROJECT TITLE :
Ultrawideband Synthetic Aperture Radar for Respiratory Motion Detection
This paper describes a methodology for detecting human respiratory motion with respiration-rate estimation using ultrawideband (UWB) artificial aperture radar (SAR). Additionally, positions of the breathing humans can be spatially resolved. The coherence of the SAR information is used to derive the generalized coherence factor (GCF), the generalized incoherence factor (GICF), and also the filter-bank-based mostly GCF (FBGCF) for the detection and estimation. The coherence is decreased by motion of the image object, and also the GCF and GICF are used to detect the position of the moving object. Furthermore, since the spectral shift of SAR data varies with motion, the FBGCF can be used to see the respiration rate. The efficacy of the proposed technique was tested by constructing a UWB SAR system with a one.five-GHz center frequency and a one-GHz bandwidth. Through-wall SAR knowledge of objects with various motions were acquired and analyzed. Moving objects were successively detected with a spectral resolution of zero.one Hz, and using the GICF achieved a rejection ratio of thirty eight dB between stationary and moving objects. These results indicate that the FBGCF can be used for respiration-rate estimation.
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