Systems and methods for situational feature set selection for target classification

• US 20080106402A1
• Filed: 11/07/2006
• Published: 05/08/2008
• Est. Priority Date: 11/07/2006
• Status: Active Grant

• Current Assignee: Ollnova Technologies Limited (Atlantic IP Services Limited)
• Original Assignee: Harris Corporation (L3Harris Technologies, Inc.)
• Inventors: Jordan, Michael D., Cloutier, Scott J., Voglewede, Paul Edward
• Granted Patent: US 7,714,714 B2
• Time in Patent Office: Days
• US Class Current: 340/540
• CPC Class Codes: H04Q 9/00 Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom

Abstract

Certain embodiments of the present invention provide a system for improved signal processing within a remote sensor system. The system includes a detection component and a classification component. The detection component is adapted to detect an event. The classification component is adapted to classify the event based at least in part on a situation. Certain embodiments of the present invention provide a method for improved signal processing within a remote sensor system. The system includes determining a situation, detecting an event, and classifying the event based at least in part on a situation.

Claims

1. A system for improved signal processing within a remote sensor system, the system including:

a detection component adapted to detect an event; and

a classification component adapted to classify the event based at least in part on a situation.

2. The system of claim 1, wherein the detection component includes at least one of a seismic detector, an acoustic detector, a magnetic detector, and a passive infra-red detector.

3. The system of claim 1, wherein the situation includes at least one of a target type, an environment, and a dynamic environmental condition.

4. The system of claim 1, wherein the situation is determined by a user.

5. The system of claim 1, wherein the situation is determined automatically by the system.

6. The system of claim 1, wherein the detection component is adapted to generate a signal based at least in part on the event.

7. The system of claim 6, wherein the classification component is adapted to select a feature set based at least in part on the situation and further including an analysis component adapted to analyze the signal based at least in part on the feature set.

8. The system of claim 6, further including an analysis component adapted to analyze the signal in a plurality of domains.

9. The system of claim 6, further including a processing component adapted to determine an envelope of the signal and an analysis component adapted to analyze the envelope of the signal in a plurality of domains.

10. The system of claim 1, wherein the detection component is adapted to generate a plurality of signals based at least in part on the event.

11. The system of claim 10, wherein the classification component is adapted to classify the event based at least in part on the plurality of signals.

12. A method for improved signal processing within a remote sensor system, the system including:

determining a situation;

detecting an event; and

classifying the event based at least in part on a situation.

13. The method of claim 12, further including generating a signal based at least in part on the event, selecting a feature set, and analyzing the signal based at least in part on the feature set.

14. The method of claim 12, further including generating a signal based at least in part on the event and analyzing the signal in a plurality of domains.

15. The method of claim 12, further including generating a signal based at least in part on the event, processing the signal to determine an envelope of the signal, and analyzing the envelope of the signal in a plurality of domains.

16. The method of claim 12, further including generating a plurality of signals based at least in part on the event and classifying the event based at least in part on the plurality of signals.

18. The set of instructions of claim 15, wherein the detection routine is configured to generate a signal.

19. The set of instructions of claim 16, wherein the classification routine is configured to select a feature set and further including an analysis routine configured to analyze the signal based at least in part on the a feature set.

20. The set of instructions of claim 16, an analysis routine configured to analyzed the signal in a plurality of domains.

21. The set of instructions of claim 16, further including a processing routine configured to determine an envelope of the signal and an analysis routine configured to analyzed the envelope of the signal in a plurality of domains.

22. The set of instructions of claim 16, wherein the detection routine is configured to generate a plurality of signals and wherein the classification routine is adapted to classify the event based at least in part on the plurality of signals.

17. A computer readable storage medium including a set of instructions for execution on a computer, the set of instructions including:

a detection routine configured to detect an event; and

a classification routine configured to classify the event based at least in part on a situation.