Method and technique for gathering signal intelligence of all radio communications only originating from specific selected areas

• US 20060212929A1
• Filed: 08/11/2005
• Published: 09/21/2006
• Est. Priority Date: 08/11/2004
• Status: Abandoned Application

• Current Assignee: Agilent Technologies, Inc.
• Original Assignee: Agilent Technologies, Inc.
• Inventors: Karlsson, Lars
• Application Number:
  US11/201,144
• Publication Number:
  US 20060212929A1
• Time in Patent Office: Days
• US Class Current: 726/4
• CPC Class Codes: G01S 3/046 Displays or indicators
• CPC Class Codes: G01S 3/18 derived directly from separate directional antennas
• CPC Class Codes: G01S 5/04 Position of source determined by a plurality of spaced direction-finders

Abstract

Systems and methods of collecting intelligence provide a local intelligence system having a front end, a post-processing stage and a geolocation module. The front end may generate digital data based on received RS signals, where the post processing stage may process the digital data. The geolocation module is able to prevent the post processing stage from processing a first portion of the digital data that corresponds to RS signals originating from a geographic location other than a predetermined geographic location. In one embodiment, the geolocation module uses remote geolocation data and local geolocation data.

Claims

1. A local intelligence system comprising:

a front end to generate digital data based on received RF signals;

a post-processing stage to process the digital data; and

a geolocation module to prevent the post-processing stage from processing a first portion of the digital data that corresponds to RF signals originating from a geographic location other than a predetermined geographic location.

2. The local intelligence system of claim 1, wherein the geolocation module is to identify a second portion of the digital data that corresponds to RF signals originating from the predetermined geographic location based on remote geolocation data from one or more remote intelligence systems and local geolocation data.

3. The local intelligence system of claim 2, further including a network input to receive the remote geolocation data, the remote geolocation data to include a remote frequency bin array having a signal arrival direction for each bin in the array and a time stamp.

4. The local intelligence system of claim 2, further including a global positioning system (GPS) receiver, the local geolocation data to include a local frequency bin array having a signal arrival direction for each bin in the array and a time stamp, the GPS receiver to generate the time stamp for the local frequency bin array.

5. The local intelligence system of claim 2, wherein the geolocation module includes a triangulation module.

6. The local intelligence system of claim 1, further including a user input to receive an indication of the predetermined geographic location.

7. The local intelligence system of claim 6, wherein the user input includes a map display in which the predetermined geographic location is to be identified by selecting a plurality of points on the map display.

8. A method of collecting intelligence comprising:

generating digital data based on received RF signals; and

preventing a first portion of the digital data that corresponds to RF signals originating from a geographic location other than a predetermined geographic location from being processed.

9. The method of claim 8, further including identifying a second portion of the digital data that corresponds to RF signals originating from the predetermined geographic location based on remote geolocation data from one or more remote intelligence systems and local geolocation data.

10. The method of claim 9, further including receiving the remote geolocation data at a network input, the remote geolocation data including a remote frequency bin array having a signal arrival direction for each bin in the array and a time stamp.

11. The method of claim 9, further including generating a time stamp, the local geolocation data to include a local frequency bin array having a signal arrival direction for each bin in the array and the time stamp.

12. The method of claim 9, further including identifying the second portion of the digital data based on a triangulation algorithm.

13. The method of claim 8, further including receiving an indication of the predetermined geographic location at a user input.

14. The method of claim 13, wherein the receiving includes detecting a user selection of a plurality of points in a map display.