Target-tracking radar classifier with glint detection and method for target classification using measured target epsilon and target glint information
Embodiments of a target classifier and method for target classification using measured target epsilons and target glint information are generally described herein. The target classifier is configured to compare a total epsilon measurement with target glint information to determine whether to the target being tracked corresponds to an intended target type. Based on the comparison, the target classifier may cause target tracking circuitry of a target-tracking radar to either continue tracking the target or break-off from tracking the target. Glint of different target types may be characterized at different ranges and the target's glint characteristics may be used to distinguish intended from non-intended targets. Accordingly, intended targets such as incoming artillery may be distinguished from non-intended targets such as aircraft to help prevent countermeasures from being launched against non-intended targets.
1. A target classifier for classifying a target using measured target epsilons and target glint information, the target classifier configured to:
compare a total epsilon measurement with the target glint information to determine whether to the target being tracked corresponds to an intended target type,
wherein based on the comparison, target tracking circuitry is configured to either continue tracking the target or break-off from tracking the target.
2. The target classifier of claim 1 wherein the measured target epsilons comprise a total angular measurement based on the target's off-boresight errors which are generated from received signals that comprise a sum signal, an azimuth delta signal and an elevation delta signal.
3. The target classifier of claim 2 wherein to classify the target, the target classifier is further configured to:
calculate a total epsilon noise value for a current dwell from means of theoretical epsilon standard deviations;
calculate a total epsilon measurement for the current dwell from the off-boresight errors;
increase a noise count value for the current dwell when the total epsilon measurement is greater than the total epsilon noise value; and
decrease the noise count value for the current dwell when the total epsilon measurement is not greater than the total epsilon noise value.
4. The target classifier of claim 3 further configured to:
calculate theoretical epsilon standard deviations for the current dwell based on a nominal noise power and normalized signal power of the received signals; and
calculate the means of the theoretical epsilon standard deviations for the current dwell using a windowed average of the theoretical epsilon standard deviations.
5. The target classifier of claim 4 wherein based on a track-mode indicator, the target classifier is further configured to refrain from calculating the theoretical epsilon standard deviations until the target tracking is stable.
6. The target classifier of claim 3 further configured to:
adjust the total epsilon noise value for the current dwell based on a pivot range and detect range; and
compare the total epsilon measurement with the adjusted total epsilon noise value to determine whether to increase or decrease the noise count value.
7. The target classifier of claim 3 wherein to calculate the total epsilon measurement for the current dwell, the target classifier is further configured to:
compute epsilon means by performing a windowed average of the measured target epsilons, the measured target epsilons comprising the off-boresight errors; and
calculate the total epsilon measurement by subtracting the epsilon means from the measured target epsilons for the current dwell.
8. The target classifier of claim 3 further configured to:
compare the noise count value to a noise count threshold for each dwell;
set a target tracking flag when the noise count value exceeds the noise count threshold,
wherein in response to the target tracking flag being set, the target tracking circuitry of a target-tracking radar is configured to break off from tracking the target.
9. The target classifier of claim 8 wherein the target tracking circuitry is configured to cause the target-tracking radar to remain in tracking mode and continue tracking the target as long as the target-tracking flag is not set.
10. A method for distinguishing an intended target from a non-intended target comprising:
calculating a total epsilon noise value from means of theoretical epsilon standard deviations;
adjusting the total epsilon noise value based on a pivot range and detect range;
calculating a total epsilon measurement from off-boresight errors;
increasing a noise count value for a current dwell when the total epsilon measurement is greater than the total epsilon noise value; and
identifying a currently tracked target as a non-intended target when the noise count value exceeds a noise count threshold for an intended target type.
11. The method of claim 10 further comprising setting a flag to instruct target-tracking circuitry to break-off from tracking the currently tracked target when the currently tracked target is identified as a non-intended target type.
12. The method of claim 11 further comprising:
computing epsilon means by performing a windowed average of the measured target epsilons, the measured target epsilons comprising the off-boresight errors; and
calculating the total epsilon measurement by subtracting the epsilon means from the measured target epsilons for the current dwell.
13. The method of claim 12 further comprising:
calculating theoretical epsilon standard deviations for the current dwell based on a nominal noise power and normalized signal power of the received signals; and
calculating the means of the theoretical epsilon standard deviations for the current dwell using a windowed average of the theoretical epsilon standard deviations.
14. The method of claim 13 further comprising decreasing the noise count value for the current dwell when the total epsilon measurement is not greater than the total epsilon noise value.
15. A target-tracking radar comprising:
a target classifier to distinguish an intended target from a non-intended target; and
target-tracking circuitry responsive to the target classifier to refrain from tracking a non-intended target,
wherein the target classifier is configured to:
calculate a total epsilon noise value for A current dwell from means of theoretical epsilon standard deviations;
adjust the total epsilon noise value for the current dwell based on a pivot range and detect range;
calculate a total epsilon measurement for THE current dwell from off-boresight errors;
increase a noise count value for the current dwell when the total epsilon measurement is greater than the total epsilon noise value; and
instruct the target-tracking circuitry to break-off from tracking a currently tracked target when the noise count value exceeds a noise count threshold for an intended target type.
16. The target tracking radar of claim 15 wherein the target classifier is further configured to:
compute epsilon means by performing a windowed average of the measured target epsilons, the measured target epsilons comprising the off-boresight errors;
calculate the total epsilon measurement by subtracting the epsilon means from the measured target epsilons for the current dwell.
17. The target tracking radar of claim 16 wherein the target classifier is further configured to:
calculate theoretical epsilon standard deviations for the current dwell based on a nominal noise power and normalized signal power of the received signals; and
calculate the means of the theoretical epsilon standard deviations for the current dwell using a windowed average of the theoretical epsilon standard deviations.
18. The target tracking radar of claim 17 wherein the target classifier is further configured to decrease the noise count value for the current dwell when the total epsilon measurement is not greater than the total epsilon noise value.