A system and method for performing correlation processing for identifying an object of interest in a cloud of remote objects of different types comprises receiving RF and IR measurement data including rotational, translational bias and noise errors and determining and removing biases by minimizing a weighted distance metric. Correlation pairing metrics are then determined according to a maximum likelihood criteria. This method produces a correlation solution that minimizes the effects of biases and random noise while accounting for the statistical proper...
1. A method for selecting an object of interest in a cloud of objects of lesser interest comprising: obtaining object positional data from at least one RF sensor and at least one IR sensor;processing, by a processor of an electromagnetic/optical correlator, the positional data to generate a dimensional representation in a common reference frame;combining, by said electromagnetic/optical correlator processor, the RF and IR positional data to determine translational bias and angular misalignment errors associated with the RF and IR positional data;defining...
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