Bae Systems Information and Electronic Systems Integration Inc.

Eric N Duchon

Daniel Ian Zwillinger

Lingji Chen

Sarah E Li

Peter M Kingston

I-Ju L Nelson

Helen M Vo

Christopher D Moss

Techniques are provided for implementing a custodianship model for decentralized track fusion. A methodology implementing the techniques according to an embodiment includes negotiating, between a first decentralized track fuser (DTF) and one or more peer DTFs. The method also includes accepting, by the first DTF, custodianship of a track of an object from one of the peer DTFs based on a first negotiation. The method further includes updating, by the first DTF, the track based on fusion of data items associated with the track. The data items are received from one or more of the peer DTFs. The method further includes transferring, by the first DTF, custodianship of the updated track to one of the peer DTFs based on a second negotiation. In some cases, the transfer may be initiated by detection of a failure state of the first DTF.

Custodianship model for decentralized track fusion

A receiver includes: a filter circuit to generate predicted measurements for a set of tracks based on previous kinematic states of the tracks and timing and source data of next compressed measurements associated to the tracks, generate probability data of differences between the predicted measurements and next measurement data, generate the next measurement data using the predicted measurements and quantized differences between the predicted measurements and the next measurement data, and generate next kinematic states of the tracks based on the previous kinematic states, the timing and source data of the next compressed measurements, and the generated measurement data; a quantizer circuit to quantize the probability data into quantization tables and look up the quantized differences from corresponding indices in the quantization tables; and a decoder circuit to decode encoded index data of the next compressed measurements into the corresponding indices in the quantization tables using the quantized probability data.

Stateful compression scheme for efficient packing of kinematic data

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Arlington, MA, United States of America

Eric N Duchon