Techniques for performing and utilizing frequency signature mapping
View Patent ↗Systems and methods for mitigating moving targets using frequency signature mapping. A method includes mapping a plurality of electronic signatures of a 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.
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.
2 . The method of claim 1 , wherein the maximum time for overlapping pulses is determined based further on a wing beat frequency of the target.
3 . The method of claim 1 , further comprising:
applying a plurality of pulses via the digitizer assembly based on the sampling rate and the maximum time for overlapping pulses.
4 . The method of claim 3 , further comprising:
adjusting, between pulses of the plurality of pulses, an area of interest of the digitizer assembly based on movement of the target.
5 . The method of claim 4 , further comprising:
determining a direction of movement of the target at a plurality of times while the pulses are being applied; and
estimating a change in the direction of movement of the target at the plurality of times while the pulses are being applied, wherein the area of interest of the digitizer assembly is adjusted based further on the direction of movement of the target and the estimated change in the direction of movement of the target at each time of the plurality of times while the pulses are being applied.
6 . The method of claim 5 , wherein estimating the changes in the direction of movement of the target further comprises:
determining a revisit rate based on a current speed of the target at each time of the plurality of times while the pulses are being applied, wherein each revisit rate defines an amount of time to return to a starting point, wherein the area of interest of the digitizer assembly is adjusted based further on the revisit rate at each time of the plurality of times while the pulses are being applied.
7 . The method of claim 3 , further comprising:
overlapping at least a portion of pulses among the plurality of pulses in order to create overlapped pulses, wherein the movement behavior of the target is classified based further on the overlapped pulses.
8 . The method of 7 , wherein the overlapped at least a portion of pulses includes at least one group of consecutive pulses, wherein each group of consecutive pulses is overlapped to create at least a portion of the overlapped pulses.
9 . The method of claim 1 , wherein the movement behavior of the target is classified based further on at least one of a classification of the target, and a classification of at least one body part of the target.
10 . The method of claim 1 , wherein performing the at least one mitigation action further comprises:
projecting a laser beam at the target.
11 . The method of claim 1 , further comprising:
identifying the target based on results of scanning within a space by applying at least one target identification rule, wherein the at least one target identification rule defines target identification conditions including detecting a signal-to-noise ratio of at least 10 and at least 3 signal peaks.
12 . A non-transitory computer readable medium having stored thereon instructions for causing a processing circuitry to execute a process, the process 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.
13 . A system for mitigating moving targets using frequency signature mapping, comprising:
a processing circuitry; and
a memory, the memory containing instructions that, when executed by the processing circuitry, configure the system to:
set 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;
determine a maximum time for overlapping pulses based on a speed of a target;
adjust at least one of the sampling rate and the repetition rate based on the determined maximum time for overlapping pulses;
determine a plurality of electronic signatures based on a plurality of frequency samples captured by the digitizer assembly with respect to the target;
map 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;
classify 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
perform 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.
14 . The system of claim 13 , wherein the maximum time for overlapping pulses is determined based further on a wing beat frequency of the target.
15 . The system of claim 13 , wherein the system is further configured to:
apply a plurality of pulses via the digitizer assembly based on the sampling rate and the maximum time for overlapping pulses.
16 . The system of claim 15 , wherein the system is further configured to:
adjust, between pulses of the plurality of pulses, an area of interest of the digitizer assembly based on movement of the target.
17 . The system of claim 16 , wherein the system is further configured to:
determine a direction of movement of the target at a plurality of times while the pulses are being applied; and
estimate a change in the direction of movement of the target at the plurality of times while the pulses are being applied, wherein the area of interest of the digitizer assembly is adjusted based further on the direction of movement of the target and the estimated change in the direction of movement of the target at each time of the plurality of times while the pulses are being applied.
18 . The system of claim 17 , wherein the system is further configured to:
determine a revisit rate based on a current speed of the target at each time of the plurality of times while the pulses are being applied, wherein each revisit rate defines an amount of time to return to a starting point, wherein the area of interest of the digitizer assembly is adjusted based further on the revisit rate at each time of the plurality of times while the pulses are being applied.
19 . The system of claim 15 , wherein the system is further configured to:
overlap at least a portion of pulses among the plurality of pulses in order to create overlapped pulses, wherein the movement behavior of the target is classified based further on the overlapped pulses.
20 . The system of 19 , wherein the overlapped at least a portion of pulses includes at least one group of consecutive pulses, wherein each group of consecutive pulses is overlapped to create at least a portion of the overlapped pulses.
21 . The system of claim 13 , wherein the movement behavior of the target is classified based further on at least one of a classification of the target, and a classification of at least one body part of the target.
22 . The system of claim 13 , wherein the system is further configured to:
project a laser beam at the target.
23 . The system of claim 13 , wherein the system is further configured to:
identify the target based on results of scanning within a space by applying at least one target identification rule, wherein the at least one target identification rule defines target identification conditions including detecting a signal-to-noise ratio of at least 10 and at least 3 signal peaks.