Preemptive signature control for vehicle survivability planning
원문보기
IPC분류정보
국가/구분
United States(US) Patent
등록
국제특허분류(IPC7판)
G01S-007/36
G01S-007/41
G01S-007/495
출원번호
US-0463684
(2012-05-03)
등록번호
US-9030347
(2015-05-12)
발명자
/ 주소
Herman, Carl R.
Rosswog, James C.
출원인 / 주소
Lockheed Martin Corporation
대리인 / 주소
Wolf, Greenfield & Sacks, P.C.
인용정보
피인용 횟수 :
0인용 특허 :
44
초록▼
Systems and methods for improving vehicle survivability. In some embodiments, threat information relating to at least one potential threat against at least one vehicle during a mission may be accessed. The threat information may comprise threat location information indicative of at least one likely
Systems and methods for improving vehicle survivability. In some embodiments, threat information relating to at least one potential threat against at least one vehicle during a mission may be accessed. The threat information may comprise threat location information indicative of at least one likely location for the at least one potential threat and at least one model associated with the at least one potential threat. Prior to commencing the mission, the threat information may be used to assign a numerical measure to each potential action of a plurality of potential actions for the at least one vehicle based at least in part on at least one measure of the at least one vehicle resulting from executing the potential action. The plurality of potential actions may be compared based at least in part on the respective numerical measures assigned to the plurality of potential actions.
대표청구항▼
1. A method for improving vehicle survivability, the method comprising acts of: accessing, by at least one processor, threat information relating to at least one potential threat against at least one vehicle during a mission, the threat information comprising threat location information indicative o
1. A method for improving vehicle survivability, the method comprising acts of: accessing, by at least one processor, threat information relating to at least one potential threat against at least one vehicle during a mission, the threat information comprising threat location information indicative of at least one likely location for the at least one potential threat, the threat information further comprising at least one model associated with the at least one potential threat;prior to commencing the mission, using, by the at least one processor, the threat information to assign a numerical measure to each potential action of a plurality of potential actions for the at least one vehicle, the numerical measure being based at least in part on at least one measure of the at least one vehicle resulting from executing the potential action, wherein the at least one measure is determined based at least in part on the at least one likely location of the at least one potential threat and the at least one model associated with the at least one potential threat;comparing, by the at least one processor, the plurality of potential actions based at least in part on the respective numerical measures assigned to the plurality of potential actions, thereby generating a comparison result; andselecting, by the at least one processor, one or more actions to be executed by the at least one vehicle, the one or more actions being selected from the plurality of potential actions based at least in part on the comparison result. 2. The method of claim 1, wherein: the at least one potential threat comprises a first potential threat and a second potential threat;the at least one likely location for the at least one potential threat comprises a first likely location for the first potential threat and a second likely location for the second potential threat;the at least one model associated with the at least one potential threat comprises a first signature exposure model associated with the first potential threat and a second signature exposure model associated with the second potential threat; andfor at least one potential action of the plurality of potential actions, the at least one measure comprises first and second measures of signature exposure, the first measure of signature exposure relating to the first potential threat and being determined based at least in part on the first likely location and the first signature exposure model, the second measure of signature exposure relating to the second potential threat and being determined based at least in part on the second likely location and the second signature exposure model. 3. The method of claim 2, wherein the numerical measure assigned to the at least one potential action is a weighted sum of the first and second measures of signature exposure. 4. The method of claim 2, wherein the first signature exposure model is an infrared (IR) signature exposure model, and wherein the second signature exposure model is a radar (RF) signature exposure model. 5. The method of claim 1, wherein the one or more actions comprise a sequence of actions to be executed by the at least one vehicle in order, the sequence of actions being selected from the plurality of potential actions prior to commencing the mission. 6. The method of claim 5, wherein the sequence of actions is selected to reduce an aggregate numerical measure determined based on the respective numerical measures assigned to the actions in the sequence of actions. 7. The method of claim 1, wherein the threat location information comprises a probability distribution over possible locations for the at least one potential threat. 8. A system for improving vehicle survivability, the system comprising at least one processor programmed to: access threat information relating to at least one potential threat against at least one vehicle during a mission, the threat information comprising threat location information indicative of at least one likely location for the at least one potential threat, the threat information further comprising at least one model associated with the at least one potential threat;prior to commencing the mission, use the threat information to assign a numerical measure to each potential action of a plurality of potential actions for the at least one vehicle, the numerical measure being based at least in part on at least one measure of the at least one vehicle resulting from executing the potential action, wherein the at least one measure is determined based at least in part on the at least one likely location of the at least one potential threat and the at least one model associated with the at least one potential threat;compare the plurality of potential actions based at least in part on the respective numerical measures assigned to the plurality of potential actions, thereby generating a comparison result; andselect one or more actions to be executed by the at least one vehicle, the one or more actions being selected from the plurality of potential actions based at least in part on the comparison result. 9. The system of claim 8, wherein: the at least one potential threat comprises a first potential threat and a second potential threat;the at least one likely location for the at least one potential threat comprises a first likely location for the first potential threat and a second likely location for the second potential threat;the at least one model associated with the at least one potential threat comprises a first signature exposure model associated with the first potential threat and a second signature exposure model associated with the second potential threat; andfor at least one potential action of the plurality of potential actions, the at least one measure comprises first and second measures of signature exposure, the first measure of signature exposure relating to the first potential threat and being determined based at least in part on the first likely location and the first signature exposure model, the second measure of signature exposure relating to the second potential threat and being determined based at least in part on the second likely location and the second signature exposure model. 10. The system of claim 9, wherein the numerical measure assigned to the at least one potential action is a weighted sum of the first and second measures of signature exposure. 11. The system of claim 9, wherein the first signature exposure model is an infrared (IR) signature exposure model, and wherein the second signature exposure model is a radar (RF) signature exposure model. 12. The system of claim 8, wherein the one or more actions comprise a sequence of actions to be executed by the at least one vehicle in order, and wherein the at least one processor is programmed to select the sequence of actions from the plurality of potential actions prior to commencing the mission. 13. The system of claim 12, wherein the sequence of actions is selected to reduce an aggregate numerical measure determined based on the respective numerical measures assigned to the actions in the sequence of actions. 14. The system of claim 8, wherein the threat location information comprises a probability distribution over possible locations for the at least one potential threat. 15. At least one non-transitory computer-readable storage medium storing processor-executable instructions that, when executed by at least one processor, cause the at least one processor to perform a method for improving vehicle survivability, the method comprising: accessing threat information relating to at least one potential threat against at least one vehicle during a mission, the threat information comprising threat location information indicative of at least one likely location for the at least one potential threat, the threat information further comprising at least one model associated with the at least one potential threat;prior to commencing the mission, using the threat information to assign a numerical measure to each potential action of a plurality of potential actions for the at least one vehicle, the numerical measure being based at least in part on at least one measure of the at least one vehicle resulting from executing the potential action, wherein the at least one measure is determined based at least in part on the at least one likely location of the at least one potential threat and the at least one model associated with the at least one potential threat;comparing the plurality of potential actions based at least in part on the respective numerical measures assigned to the plurality of potential actions, thereby generating a comparison result; andselecting one or more actions to be executed by the at least one vehicle, the one or more actions being selected from the plurality of potential actions based at least in part on the comparison result. 16. The at least one non-transitory computer-readable storage medium of claim 15, wherein: the at least one potential threat comprises a first potential threat and a second potential threat;the at least one likely location for the at least one potential threat comprises a first likely location for the first potential threat and a second likely location for the second potential threat;the at least one model associated with the at least one potential threat comprises a first signature exposure model associated with the first potential threat and a second signature exposure model associated with the second potential threat; andfor at least one potential action of the plurality of potential actions, the at least one measure comprises first and second measures of signature exposure, the first measure of signature exposure relating to the first potential threat and being determined based at least in part on the first likely location and the first signature exposure model, the second measure of signature exposure relating to the second potential threat and being determined based at least in part on the second likely location and the second signature exposure model. 17. The at least one non-transitory computer-readable storage medium of claim 16, wherein the numerical measure assigned to the at least one potential action is a weighted sum of the first and second measures of signature exposure. 18. The at least one non-transitory computer-readable storage medium of claim 16, wherein the first signature exposure model is an infrared (IR) signature exposure model, and wherein the second signature exposure model is a radar (RF) signature exposure model. 19. The at least one non-transitory computer-readable storage medium of claim 15, wherein the one or more actions comprise a sequence of actions to be executed by the at least one vehicle, the sequence of actions being selected from the plurality of potential actions prior to commencing the mission. 20. The at least one non-transitory computer-readable storage medium of claim 15, wherein the sequence of actions is selected to reduce an aggregate numerical measure determined based on the respective numerical measures assigned to the actions in the sequence of actions.
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