Abstract: A method for multi-sensor fusion using a projective particle filter includes measuring, using a plurality of sensors, data related to one or more objects. A higher dimensional state space may be sampled using particle data. Particle data may be projected onto an observation space to extract measurement data. The measurement data are combined to infer higher-dimensional information. The higher dimensional state space includes presumed information related to one or more states associated with the one or more objects. The higher-dimensional information includes estimated information related to one or more states associated with the one or more objects.

Abstract: Sensor(s) may be used to detect threat data. A processing system and/or a method may be used to fuse the detected threat data over time. Threat data may comprise information on a munition, missile, rocket, or nuclear/biological/chemical (NBC) projectile or delivery system. Detected threat data may be processed to create a target track-lethality list comprising the locations of any target(s) and a ranking of their lethality in comparison to decoys or chaff. The target track-lethality list may be used to create a target engagement-track list that matches available threat elimination resources (e.g. interceptors) to targets with a weapon-to-target assignment module.