Abstract:
The technology described herein includes a system and/or a method for global hypothesis tracking. In some examples, a method generates one or more paired segments based on track data representing kinematic data of target objects. Each paired segment includes a list of tracks incompatible with the paired segment, which are tracks sharing common track data, and a likelihood score. The method generates a transition probability between each pair of the paired segments based on the list of tracks incompatible with the paired segment and the likelihood score associated with each paired segment. The method further generates one or more multi-segment tracks based on the one or more paired segments also based on the transition probability between each pair of the paired segments.
Abstract:
A system includes a first simulated processing system having a first clock and a second simulated processing system having a second clock. The first and second processing systems may operate asynchronously. A synchronization bridge may coordinate executing of the first synchronized processing system and the second synchronized processing system to synchronize the time of execution of the first and second simulated processing systems and messaging between the first and second processing systems. The first and second processing systems may be simulated processing systems.
Abstract:
A system and method for tracking an object receive electronic intelligence (ELINT) track information related to the object and radar track information. A first likelihood that the radar track information is also related to the object is determined at a first time of the ELINT track information and a first time of the radar track information. A second likelihood that the radar track information is also related to the object is determined at a second time of the ELINT track information and a second time of the radar track information. The first likelihood and the second likelihood are processed to determine whether the ELINT track information and the radar track information should be associated as both being related to the object.
Abstract:
The technology described herein includes a system and/or a method for global hypothesis tracking In some examples, a method generates one or more paired segments based on track data. The method further generates one or more multi-segment tracks based on the one or more paired segments and generates a transition probability between each pair of the one or more paired segments.
Abstract:
A system includes a first simulated processing system having a first clock and a second simulated processing system having a second clock. The first and second processing systems may operate asynchronously. A synchronization bridge may coordinate executing of the first synchronized processing system and the second synchronized processing system to synchronize the time of execution of the first and second simulated processing systems and messaging between the first and second processing systems. The first and second processing systems may be simulated processing systems.
Abstract:
A system and method for tracking an object receive electronic intelligence (ELINT) track information related to the object and radar track information. A first likelihood that the radar track information is also related to the object is determined at a first time of the ELINT track information and a first time of the radar track information. A second likelihood that the radar track information is also related to the object is determined at a second time of the ELINT track information and a second time of the radar track information. The first likelihood and the second likelihood are processed to determine whether the ELINT track information and the radar track information should be associated as both being related to the object.