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Enhanced adaptive statistical filter providing improved performance for target motion analysis noise discrimination

  • US 5,511,042 A
  • Filed: 05/25/1995
  • Issued: 04/23/1996
  • Est. Priority Date: 05/25/1995
  • Status: Expired due to Fees
First Claim
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1. An adaptive statistical filter system for receiving data streams comprising a series of data values from a sensor associated with successive points in time, each said data value including a data component representative of the kinematics of the relative positions of an object and the sensor and a noise component, with the noise components of data values associated with proximate points in time being correlated, the system including:

  • a prewhitener for receiving the data stream from the sensor and generating a corrected data stream, the corrected data stream comprising a series of corrected data values each associated with a data value of the data stream, each including a data component and a noise component with the noise components of data values associated with proximate points in time being decorrelated;

    plural statistical filters of different orders coupled to receive said corrected data stream in parallel from said prewhitener, each statistical filter generating coefficient values to fit the corrected data stream to a polynomial of corresponding order and fit values representative of the degree of fit of the corrected data stream to the polynomial;

    correlation mensuration and decorrelation means for receiving the fit values and generating a respective decorrelated fit value therefrom for each order filter in accordance with an autoregressive moving average methodology;

    selection means for receiving the decorrelated fit values and coefficient values from the stochastic decorrelation means and selecting one of said filters in response to the decorrelated fit values; and

    the coefficient values of the selected filter being used by a object motion analysis module to determine the position and velocity of the object.

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