CBRN Sensor and Sensor Netting Algorithms
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AbstractBeing proposed is a way to integrate the inputs from multiple sensors and different types of sensors to produce a map of the chemical threat. This technique weights every input based on type of sensor, minimum detectable level, health and status of each instrument, and time and position errors. The Sensor Netting Algorithm (SNA) will be based on tomography with weighting factors. The output will be a map of the fused data along with the uncertainty for each pixel or voxel. The SNA can perform as a distributed algorithm with maps produced at the local level with limited number of sensors, and the SNA outputs and uncertainties can be joined together at a higher level where multiple local maps are available. For example, each local SNA could be for a particular sensor net. At the top level, the individual sensor nets can be joined. SNA can even tell if two sensor nets are reporting the same or a different cloud.
* information listed above is at the time of submission.