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Pattern recognition system providing automated techniques for training classifiers for non stationary elements

  • US 5,838,816 A
  • Filed: 02/07/1996
  • Issued: 11/17/1998
  • Est. Priority Date: 12/18/1992
  • Status: Expired due to Term
First Claim
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1. An improved pattern recognition system for a sonar system, said pattern recognition system for discriminating a target from background clutter, including:

  • transmitter means for providing a sonar pulse directed towards said target;

    phased array beam forming network means for receiving said returned sonar pulse and providing a received signal;

    signal processing means for detecting said received signal and extracting a plurality of said data samples therefrom;

    means for extracting features in said data samples including;

    first means for generating a plurality of feature vectors from a single non-stationary class of data samples, said data samples consisting of background clutter data;

    second means for estimating a pruning radius for said feature vectors in said single non-stationary class of data samples;

    third means for generating a replacement class of data samples from said single non-stationary class of data samples based on said pruning radius, said replacement class of data samples further comprising random feature vectors selected from a uniform distribution;

    fourth means for classifying raw data to facilitate the recognition of a pattern therein, said fourth means including classifier weights; and

    fifth means for training said fourth means based on said pruning radius, and said replacement class of data samples said fifth means comprising means for determining said classifier weights;

    means for recognizing patterns in said raw data based on the output of said fourth means; and

    means for adapting said estimated pruning radius and said classifier weights based on current results from said fourth means.

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