Abstract: Techniques to image life forms through obstructions and at long standoff ranges employ a radar system that simultaneously transmits a plurality of RF pulse trains having different transmission frequencies and receives returns of the RF pulse trains reflected from a life form target. The returns are processed to generate digital radar data associated with the transmission frequency of each RF pulse train. The digital radar data is segmented and averaged to generate a Doppler spectrum response associated with the transmission frequency of each RF pulse train. Target classification is performed using the Doppler spectrum responses to extract biometric data describing the life form target.

Abstract: A pulsed radar system uses simultaneous multiple frequency spectral response of life form targets to classify target type and movements. In particular classifying movements from human and animals such as walking and breathing. Currently radar systems attempt to image targets with ultra high bandwidth (fine range resolution) and a large or synthetic aperture (SAR). These techniques slice up the scene into a three-dimensional radar picture. The radar picture data is again processed with target classifiers. Currently these classical techniques are beyond state-of-the-art at long standoff ranges. This new radar system will use multiple sparse lower bandwidth frequencies to provide life form classification imaging based on the spectral response. The lower bandwidth dramatically improves the data quality while the spectral ratios and correlations will resolve sparse frequency ambiguities for a new type of imaging radar.