Abstract: Radar-based range determination and validation. A reflected FMCW radar signal is received from a subject and sampled to generate sample vectors including signal samples for each frame of reflected radar signal. An FFT is applied to sample vectors to generate a range-time map (RTM) data matrix. An initial range estimate of subject is determined by: calculating a range score signal (RSS) by either: cross-multiplying a mean power per RTM range bin with a corresponding variance per range bin, or dividing variance per range bin with a zero-crossing per range bin to second exponent; identifying a maximum value index range bin having a maximum RSS value; and multiplying identified maximum value index range bin with a range bin spacing of range spectrum RSS. At least one physiological parameter is detected to verify that subject is a living entity. Range estimate is validated by determining if predetermined number of validity criteria met.

Abstract: Radar-based range determination and validation. A reflected FMCW radar signal is received from a subject and sampled to generate sample vectors including signal samples for each frame of reflected radar signal. An FFT is applied to sample vectors to generate a range-time map (RTM) data matrix. An initial range estimate of subject is determined by: calculating a range score signal (RSS) by either: cross-multiplying a mean power per RTM range bin with a corresponding variance per range bin, or dividing variance per range bin with a zero-crossing per range bin to second exponent; identifying a maximum value index range bin having a maximum RSS value; and multiplying identified maximum value index range bin with a range bin spacing of range spectrum RSS. At least one physiological parameter is detected to verify that subject is a living entity. Range estimate is validated by determining if predetermined number of validity criteria met.