Detecting location within a network

Patent metadata

Field	Value
Publication number	US-10325641-B2
Application number	US-201715674487-A
Country	US
Kind code	B2
Filing date	Aug 10, 2017
Priority date	Aug 10, 2017
Publication date	Jun 18, 2019
Grant date	Jun 18, 2019

Abstract

Systems and methods for detecting the presence of a body in a network without fiducial elements, using signal absorption, and signal forward and reflected backscatter of radio frequency (RF) waves caused by the presence of a biological mass in a communications network.

First claim

The invention claimed is:

1. A method for detecting the presence of an object that affects RF signals comprising:
providing a first transceiver disposed at a first location within a detection area;
providing a second transceiver disposed at a second location within said detection area; and
a computer server communicably coupled to said first transceiver;
said first transceiver receiving a first set of wireless signals from said second transceiver when an object that affects RF signals is present within said detection area at a first position;
said computer server receiving a first set of signal data from said first transceiver, said first set of signal data comprising data about properties of said first set of wireless signals;
said computer server creating a baseline signal profile for wireless communications from said second transceiver to said first transceiver, said baseline signal profile being based at least in part on said properties of said first set of wireless signals in said first set of signal data when said object that affects RF signals is present in said detection area at said first position;
said object moving from said first position to a second position in said detection area;
said first transceiver receiving a second set of wireless signals from said second transceiver when said object that affects RF signals is present at said second position;
said computer server receiving a second set of signal data from said first transceiver, said second set of signal data comprising data about properties of said second set of wireless signals; and,
said computer server determining if the position of said object that affects RF signals in said detection area has changed, said determination based at least in part on a comparison of said properties of said second set of wireless signals in said second set of wireless signal data to said baseline signal profile.

2. The method of claim 1 , wherein said properties of said first set of wireless signals comprise wireless network signal protocol properties determined by said first transceiver.

3. The method of claim 2 , wherein each of said wireless network signal protocol properties is selected from the group consisting of received signal strength, latency, and bit error rate.

4. The method of claim 1 , wherein said object that affects RF signals comprises a weapon.

5. The method of claim 1 , further comprising:
said object that affects RF signals moving to a new position in said detection area;
said first transceiver receiving a new set of wireless signals from said second transceiver when said object that affects RF signals is present in said detection area at said new position;
said computer server receiving a new set of signal data from said first transceiver, said new set of signal data comprising data about properties of said new set of wireless signals;
said computer server replacing said baseline signal profile with a new baseline signal for wireless communications from said second transceiver to said first transceiver when said object that affects RF signals is at said new position, said second baseline signal profile being created based at least in part on said properties of said new set of wireless signals in said new set of signal data when said object that affects RF signals is present in said detection area at said new position.

6. The method of claim 5 , further comprising: before said computer server replacing said baseline signal profile with said new baseline signal, said computer server storing a historical data record of said baseline profile.

7. The method of claim 6 , wherein said stored historical data record is indicative of said object that affects RF signals being detected in said detection area and comprises a date and time when said object was detected in said detection area.

8. The method of claim 5 , repeating said object that affects RF signals moving, said server receiving, and said server replacing at least twice.

9. The method of claim 1 , wherein said computer server determining if the position of said object that affects RF signals in said detection area has changed is adjusted based on machine learning comprising:
determining a first sample location of an object that affects RF signals having a fiducial element in said detection area, said first sample location being determined based upon detecting said fiducial element;
determining a second sample location of said object that affects RF signals in said detection area, said second sample location being determined based at least in part on a comparison of said received second set of signal data to said baseline signal profile not utilizing the fiducial element;
comparing said first sample location and said second sample location; and
adjusting the determination step of said second sample location to improve the location calculating capabilities of the system, said adjusting based upon the comparison between first and second determinations.

10. The method of claim 1 wherein an existing historical record of said first signal data and said second signal data are retrieved from a server, and adjusted to allow the use of said historical record in a different operational environment.

11. The method of claim 1 , wherein said object that affects RF includes a metal.

12. The method of claim 1 , wherein said object causes a measurable variation in signal metrics due to one or more phenomena from the list of: reflection, refraction, diffraction, scattering and absorption.

13. The method of claim 1 , wherein said object that affects RF is a vehicle.

Assignees

• Ivani Llc

Inventors

• Wootton John
• Wootton Matthew
• Nissman Chris
• Preston Victoria
• Clark Jonathan
• Mckinney Justin
• Barnes Claire
• Xiao Xinyu
• Wang Zhecan

Classifications

• G11C11/2297

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• G11C11/2259

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• G11C11/221 Primary

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• G11C11/2257 Primary

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• G11C11/5657

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