초록 ▼

A method of using a discriminant analysis and Kalman filter cascade to improve the accuracy of point of origin solutions. Tracking information about a potential target is utilized by an initial discrimination function to classify the target as a projectile. Using that information, the output of a fi

A method of using a discriminant analysis and Kalman filter cascade to improve the accuracy of point of origin solutions. Tracking information about a potential target is utilized by an initial discrimination function to classify the target as a projectile. Using that information, the output of a first Kalman filter is fed into an additional discrimination function to further classify the type or sub-class of the projectile. A second Kalman filter can employ type-specific information to obtain a point of origin solution with increased efficiency and accuracy.

대표청구항 ▼

1. A method for extrapolating the point of origin of a projectile, the method comprising: receiving, at a processor, data about a target from a radar;classifying said target by performing a first discriminant function analysis of said received data using said processor;performing, by said processor,

1. A method for extrapolating the point of origin of a projectile, the method comprising: receiving, at a processor, data about a target from a radar;classifying said target by performing a first discriminant function analysis of said received data using said processor;performing, by said processor, a second discriminant function analysis of the analyzed data to create a first output comprising information about said radar target, wherein said second discriminant function is only performed if said first discriminant function classifies said target as a projectile;calculating at least a first value of said projectile by performing, using said processor, a first Kalman filter algorithm using at least the data from said second discriminant function analysis;performing, by said processor, a third discriminant function analysis of said at least a first value of said projectile to create a second output;performing, by said processor, a second Kalman filter algorithm using at least said first value of said projectile to create a third output; andusing said third output to extrapolate a point of origin of said target. 2. The method of claim 1, wherein said method further comprises: predicting a point of impact. 3. The method of claim 1, wherein said method further comprises: sending at least said extrapolated point of origin to a downstream application. 4. The method of claim 3, wherein said downstream application is a warning system. 5. The method of claim 3, wherein said downstream application is a counter-measure system. 6. The method of claim 1, wherein the step of calculating at least a first value of said projectile by performing a first Kalman filter algorithm comprises the steps of: estimating at least an initial state of position and at least an initial state of velocity by fitting the received data into a quadratic curve;initializing the ballistic coefficient to a constant value; andcomputing the variance for at least a first radar coordinate. 7. The method of claim 1, wherein said method further comprises: measuring at least a first environmental variable, wherein said environmental variable is used by said first or second Kalman filter algorithm. 8. The method of claim 7, wherein said environmental variable is wind speed. 9. The method of claim 8, wherein said environmental variable is selected from the group consisting of wind speed, wind direction, air temperature, air density, and air pressure. 10. The method of claim 1, wherein said method further comprises: calculating at least a first radar cross-section, wherein said at least first radar cross-section is used in said third discriminant function analysis. 11. The method of claim 1, wherein said second output comprises information about the target's caliber. 12. The method of claim 1, wherein said Kalman filter algorithm comprises a type-specific ballistic model. 13. The method of claim 1, wherein said Kalman filter algorithm comprises a type-specific drag model. 14. A method for extrapolating the point of origin of a projectile, the method comprising: receiving, at a processor, data about a target from a radar;performing, by said processor, a first discriminant function analysis of the received data to create a first output comprising information about said radar target;calculating at least a first value of said projectile by performing, by said processor, a first Kalman filter algorithm using at least the data from said first discriminant function analysis;performing, by said processor, a second discriminant function analysis of said at least a first value of said projectile to create a second output;performing, by said processor, a second Kalman filter algorithm using at least said first value of said projectile to create a third output; andusing said third output to extrapolate a point of origin of said projectile. 15. The method of claim 14, wherein said method further comprises: predicting a point of impact. 16. The method of claim 14, wherein said method further comprises: sending at least said extrapolated point of origin to a downstream application. 17. The method of claim 15, wherein said method further comprises: sending at least said point of impact to a downstream application. 18. The method of claim 14, wherein said method further comprises: measuring at least a first environmental variable, wherein said environmental variable is used by said first or second Kalman filter algorithm. 19. The method of claim 14, wherein said method further comprises: calculating at least a first radar cross-section, wherein said at least first radar cross-section is used in said second discriminant function analysis. 20. The method of claim 14, wherein said first output comprises information about the target's caliber.