Claims
- 1. A method of radar target recognition based on sets or groups of feature vectors formed from a library of a plurality of anticipated targets comprising the steps of:obtaining a signature characteristic of a target of said plurality of anticipated targets, each said signature characteristic including a radar cross-section for a corresponding anticipated target at each of a plurality of range resolution cells along the radar's line of sight path; and comparing said signature characteristic of a target against each of said feature vector sets or groups to classify said target.
- 2. A target recognition system based on sets or groups of feature vectors formed from a library of a plurality of anticipated targets comprising the steps of:means for obtaining a signature characteristic of a target of said plurality of anticipated targets, each said signature characteristic including a radar cross-section for a corresponding anticipated target at each of a plurality of range resolution cells along the radar's line of sight path; and means for comparing said signature characteristic of a target against each of said feature vector sets or groups to classify said target.
- 3. The method as recited in claim 1, wherein a plurality of said feature vectors are derived from observance of a corresponding target at a single aspect angle.
- 4. The method as recited in claim 1, wherein said step of obtaining said signature characteristic comprises receiving target amplitude data.
- 5. The method as recited in claim 1, including a further step ofinterrogating said signature characteristic of said target to determine features thereof.
- 6. The method as recited in claim 5, wherein said feature vectors are segmented by target aspect angle.
- 7. The method as recited in claim 1, wherein said signature characteristic is high range resolution ISAR A-scan data.
- 8. The method as recited in claim 7, wherein said A-scan data is coherently integrated over an ISAR aperture time in an observed range swath centered on the target.
- 9. The system as recited in claim 2, wherein a plurality of said feature vectors are derived from observance of a corresponding target at a single aspect angle.
- 10. The system as recited in claim 2, wherein said means for obtaining said signature characteristic comprises means for receiving target amplitude data.
- 11. The system as recited in claim 2, further includingmeans for interrogating said signature characteristic of said target to determine features thereof.
- 12. The system as recited in claim 11, wherein said feature vectors are segmented by target aspect angle.
- 13. The system as recited in claim 2, wherein said signature characteristic is high range resolution ISAR A-scan data.
- 14. The system as recited in claim 13, wherein said A-scan data is coherently integrated over an ISAR aperture time in an observed range swath centered on the target.
Parent Case Info
This application is a division of Ser. No. 09/434,515 now U.S. Pat. No. 6,337,654 filed Nov. 5, 1999.
US Referenced Citations (10)
Non-Patent Literature Citations (1)
Entry |
Weixin et al., “A Fractal approach to Radar Target Recognition,” Radar, 1996. Proceedings., CIE International Conference, Beijing, China, Oct. 1996. |