US 12,469,332 B2
Techniques for performing and utilizing frequency signature mapping
Morann Sonia Dagan, Hempstead, NY (US)
Assigned to The Joan and Irwin Jacobs Technion-Cornell Institute, New York, NY (US)
Filed by The Joan and Irwin Jacobs Technion-Cornell Institute, New York, NY (US)
Filed on Dec. 27, 2022, as Appl. No. 18/146,867.
Claims priority of provisional application 63/266,071, filed on Dec. 28, 2021.
Prior Publication US 2023/0206695 A1, Jun. 29, 2023
Int. Cl. G06V 40/20 (2022.01); G01S 17/89 (2020.01); G06V 10/764 (2022.01)
CPC G06V 40/20 (2022.01) [G01S 17/89 (2013.01); G06V 10/764 (2022.01)] 23 Claims
OG exemplary drawing
 
1. A method for mitigating moving targets using frequency signature mapping, comprising:
setting a sampling rate of a digitizer assembly to a value that yields a nonzero remainder when divided by a value of the repetition rate of the digitizer assembly, wherein the digitizer assembly has the sampling rate and a repetition rate;
determining a maximum time for overlapping pulses based on a speed of a target;
adjusting at least one of the sampling rate and the repetition rate based on the determined maximum time for overlapping pulses;
determining a plurality of electronic signatures based on a plurality of frequency samples captured by the digitizer assembly with respect to the target;
mapping the plurality of electronic signatures of the target to a three-dimensional (3D) model into an electronic signature mapping, wherein the 3D model includes 3D features representing a plurality of historical frequency signatures;
classifying a movement behavior of the target into at least one classification based on the electronic signature mapping and a plurality of learned behaviors for respective classifications of historical movement behavior; and
performing at least one mitigation action to interfere with the classified behavior, wherein the at least one mitigation action is determined based on the at least one classification.