Training target tagging system and related method

Patent metadata

Field	Value
Publication number	US-9368043-B1
Application number	US-201313961671-A
Country	US
Kind code	B1
Filing date	Aug 7, 2013
Priority date	Aug 7, 2013
Publication date	Jun 14, 2016
Grant date	Jun 14, 2016

Abstract

A system and related method is disclosed for applying a training tag to an entity within a training scenario and presenting the entity based on the applied tag. The method receives sensor data from of a plurality of onboard sensors, truth data and state data via a training and tactical network, and simulation data representative of Live, Virtual and Constructive training entities. The method applies Multi Sensor Integration techniques to the received data to display a single presentation where appropriate within the scenario. Based on a defined set of attributes, the method attaches a training specific tag to each integrated representative data set and applies a rules set to determine whether and how to present each received and tagged training entity to a trainee.

First claim

What is claimed is:

1. A method for tagging a training entity, comprising:
receiving sensor data from at least one of a plurality of sensors, the sensor data associated with the training entity, the sensor data acquired via sensor manipulation by a trainee, the sensor data packaged into a first set of data representative of the training entity, the plurality of sensors including at least one of a targeting pod, an identification friend or foe, a radar warning receiver, and a radar, the plurality of sensors integrated to present a multi-sensor integrated presentation to the trainee;
receiving truth data, the truth data a self-descriptive second set of data representative of the training entity and originated by the training entity, the truth data broadcast via a training network;
receiving state data via the training network, the state data packaged into a third set of data representative of the training entity;
receiving simulation data, the simulation data a fourth set of data representative of the training entity;
integrating each set of data representative of the training entity to determine if more than one set of data representative of the training entity represents a single training entity, the single training entity a portion of a training objective;
attaching a training entity tag to the integrated set of data representative of the training entity, the training entity tag a descriptive identifier of the training entity;
receiving a presentation rules set, the presentation rules set including a presentation identifier;
determining whether to present the training entity, the determining based on the training entity tag and the presentation rules set; and
presenting the training entity to the trainee on a trainee presentation based on the determining, the presenting including a portion of the integrated set of data representative of the training entity and the presentation identifier.

2. The method for tagging a training entity of claim 1 , wherein the training entity is at least one of: a plurality of airborne and surface based entities, a plurality of subsurface entities, a plurality of space based entities and a plurality of Live, Virtual and Constructive challenges to the trainee.

3. The method for tagging a training entity of claim 1 , wherein the plurality of sensors includes at least one of: a radar, an Identification Friend or Foe (IFF), a Radar Warning Receiver (RWR), a sensor pod, a sonar and an infrared sensor.

4. The method for tagging a training entity of claim 1 , wherein the sensor data and truth data are representative of a Live training entity.

5. The method for tagging a training entity of claim 1 , wherein the state data is representative of one of: a Live, Virtual and Constructive training entity.

6. The method for tagging a training entity of claim 1 , wherein the simulation data is representative of Constructive training entity, the simulation data is originated via one of: an onboard data source and a remote data source.

7. The method for tagging a training entity of claim 1 , wherein
integrating each set of data representative of the training entity further comprises:
receiving each set of data representative of the training entity;
comparing a first set of data representative of the training entity with a second set of data representative of the training entity;
determining if the first and second set of data representative of the training entity represent a single training entity;
determining which of the first and second set of data representative of the training entity is a desired set of data representative of the training entity; and
transmitting the desired set of data representative of the training entity.

8. The method for tagging a training entity of claim 1 , wherein the training entity tag is further received via the training network and is at least one of:
alive, dead, unknown, bogey, bandit, friendly, neutral, hostile, civilian, cyclops, outlaw and spades.

9. The method for tagging a training entity of claim 1 , wherein
receiving a presentation rules set further comprises storing the presentation rules set within an onboard data source.

10. The method for tagging a training entity of claim 1 , wherein
presenting the training entity to the trainee on a trainee presentation further comprises displaying the training entity to a trainee pilot within a flight deck display.

11. A non-transitory computer readable medium having non-transitory computer readable program code embodied therein for tagging a training entity, the computer readable program code comprising instructions which, when executed by a computer device or processor, perform and direct the steps of
receiving sensor data from at least one of a plurality of sensors, the sensor data associated with the training entity, the sensor data acquired via sensor manipulation by a trainee, the sensor data packaged into a first set of data representative of the training entity, the plurality of sensors including at least one of a targeting pod, an identification friend or foe, a radar warning receiver, and a radar, the plurality of sensors integrated to present a multi-sensor integrated presentation to the trainee;
receiving truth data, the truth data a self-descriptive second set of data representative of the training entity and originated by the training entity, the truth data broadcast via a training network;
receiving state data via the training network, the state data packaged into a third set of data representative of the training entity;
receiving simulation data, the simulation data a fourth set of data representative of the training entity;
integrating each set of data representative of the training entity to determine if more than one set of data representative of the training entity represents a single training entity, the single training entity a portion of a training objective;
attaching a training entity tag to the integrated set of data representative of the training entity, the training entity tag a descriptive identifier of the training entity;
receiving a presentation rules set, the presentation rules set including a presentation identifier;
determining whether to present the training entity, the determining based on the training entity tag and the presentation rules set; and
presenting the training entity to the trainee on a trainee presentation based on the determining, the presenting including a portion of the integrated set of data representative of the training entity and the presentation identifier.

12. The non-transitory computer readable medium of claim 11 , wherein the training entity is at least one of: a plurality of airborne and surface based entities, a plurality of subsurface entities, a plurality of space based entities and a plurality of Live, Virtual and Constructive challenges to the trainee.

13. The non-transitory computer readable medium of claim 11 , wherein the plurality of sensors includes at least one of: a radar, an Identification Friend or Foe (IFF), a Radar Warning Receiver (RWR), a sensor pod, a sonar and an infrared sensor.

14. The non-transitory computer readable medium of claim 11 , wherein the sensor data and truth data are representative of a Live training entity.

15. The method for tagging a training entity of claim 1 , wherein the state data is representative of one of: a Live, Virtual and Constructive training entity.

16. The non-transitory computer readable medium of claim 11 , wherein the simulation data is representative of Constructive training entity, the simulation data is originated via one of: an onboard data source and

Assignees

• Wenger Jason C
• Mclean Angus L M T
• Wolford Brian R
• Lorch Matthew M
• Rockwell Collins Inc

Inventors

• Wenger Jason C
• Mclean Angus L M T
• Wolford Brian R
• Lorch Matthew M

Classifications

• G09B9/003 Primary

  for military purposes and tactics · CPC title