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Explicit probabilistic target object selection and engagement

  • US 8,378,880 B1
  • Filed: 09/23/2011
  • Issued: 02/19/2013
  • Est. Priority Date: 09/23/2011
  • Status: Expired due to Fees
First Claim
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1. A method for selecting an object of interest in a cloud of objects of lesser interest, said method comprising the steps of:

  • sensing objects of said cloud with a radio-frequency (RF) sensor at a location, to thereby generate sensed RF signals for at least some of said objects of said cloud;

    discriminating said sensed RF signals by computing the probability that each RF tracked object is one of a predetermined number (X) of possible object types, to thereby form an RF confusion matrix;

    sensing objects of said cloud with an optical sensor at a location different from the location of said RF sensor, to thereby generate sensed optical signals for at least some of said objects of said cloud;

    discriminating said sensed optical signals by computing the probability of each optical tracked object is one of a predetermined number (X) of possible object types to thereby form an optical confusion matrix;

    calculating the correlations between all pairs of objects consisting of one RF object and one IR object to thereby form an RF/IR correlation matrix;

    calculating joint probabilities for all pairs of RE and optical signals and all objects to produce a matrix set of joint probabilities;

    normalizing said joint probabilities over all object types to produce a matrix set of normalized joint probabilities;

    calculating marginal probabilities of the joint RF/IR discrimination results to produce a vector set of marginal optical probabilities;

    normalizing said vector set of marginal optical probabilities over all object types to thereby produce a vector set of normalized marginal optical probabilities; and

    selecting a guide-to object as the IR object of said vector set of normalized marginal optical probabilities with the highest probability of being the object type of interest.

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