Signal metric estimator

Claim 2

A signal metric estimator apparatus comprising: automatic target recognition (ATR) means for receiving a plurality of sequential multidimensional signals of a scene, and providing ATR observables, said ATR having a plurality of adjustable parameters; ancillary data means for providing non-sensory informational data for said scene; performance measure estimating means connected to said ATR means for receiving said ATR observables and connected to said ancillary data means for receiving said non-sensory informational data, said performance measure estimating means providing a first performance measure estimate for said ATR; a first performance model as a function of parameters and metrics, said first performance model having coefficients; means for varying a first parameter of said ATR from a first value to a second value; means for determining a rate of change of a variation in said first performance measure estimate as a result of varying said first parameter from a first value to a second value; and inverting means for using said first parameter first value, said rate of change of said variation in said first performance measure estimate, said performance model coefficients, and said first performance model to estimate a first metric value.

Claim 3

Apparatus of claim 1 wherein said performance measure estimating means includes means for determining a frequency of a target being tracked exceeding a threshold value.

Claim 4

Apparatus of claim 1 wherein said inverting means includes partial differential means for taking a partial derivative of said first performance model with respect to said first parameter.

Claim 5

A signal metric estimator apparatus comprising: automatic target recognition (ATR) means for receiving a plurality of sequential images of a scene and providing ATR observables, said ATR having a plurality of adjustable parameters; ancillary data means for providing non-sensory informational target data for said scene; performance measure estimating means connected to said ATR means for receiving said ATR observables and connected to said ancillary data means for receiving said non-sensory informational target data, said performance measure estimating means comparing said ATR observables to said non-sensory informational target data and said performance measure estimating means determining the frequency of tracking of a predicted target, said performance measure estimating means providing a first performance measure estimate for said ATR; a first performance model for providing a corresponding model for said first performance measure estimate, said first performance model being a quadratic function of a first parameter of said ATR and of a first metric; means for varying said first parameter from a first value to a second value; means for determining a rate of a change of said first performance measure estimate as a result of varying said first parameter from a first value to a second value; and means for using said first parameter first value, said rate of change of said first performance estimate, said performance model coefficients, and said first performance model to estimate said first metric.

Claim 6

A signal metric estimator apparatus comprising: automatic target recognition (ATR) means for receiving a plurality of sequential images of a scene and providing ATR observables, said ATR having a plurality of adjustable parameters; ancillary data means for providing non-sensory informational target data for said scene; performance measure estimating means connected to said ATR means for receiving said ATR observables and connected to said ancillary data means for receiving said non-sensory informational target data, said performance measure estimating means comparing said ATR observables to said non-sensory informational target data and said performance measure estimating means determining the frequency of tracking of a predicted target, said performance measure estimating means providing a first performance measure estimate for said ATR; a first performance model for providing a corresponding model for said first performance measure estimate, said first performance model being a quadratic function of a first parameter of said ATR and of a first metric; means for varying said first parameter from a first value to a second value; means for determining a rate of a change of said first performance measure estimate as a result of varying said first parameter from a first value to a second value; and means for using said first parameter first value, said rate of change of said first performance estimate, said performance model coefficients, and said first performance model to estimate said first metric.

Claim 7

Apparatus of claim 4 wherein said means for using said first parameter first value, said rate of change of said first performance estimate, said first performance model coefficients, and said first performance model includes partial derivative means for taking a partial derivative of said first performance model with respect to said first parameter.

Claim 8

Apparatus of claim 5 wherein said means for using said first parameter first value, said rate of change of said first performance estimate, said first performance model coefficients and said first performance model includes means for determining an estimated metric from said partial derivative.

Claim 9

A signal metric estimator apparatus for use with an Automatic Target Recognition (ATR) system having a plurality of adjustable parameters, said ATR receiving a plurality of sequential images of a scene and providing ATR observables, said signal metric estimator comprising: ancillary data means for providing non-sensory information data for said scene; performance measure estimating means connected to said ATR for receiving said ATR observables and connected to said ancillary data means for receiving said non-sensor informational data, said performance measure estimating means comparing said ATR observables to said non-sensory informational data and said performance measure estimating means determining the frequency of tracking of a predicted target, said performance measure estimating means providing a first performance measure estimate for said ATR; a first performance model for providing a corresponding model for said first performance measure estimate, said first performance model being a quadratic function of a first parameter of said ATR and of a first metric; means for varying said first parameter from a first value to a second value; means for determining a rate of change of said first performance measure estimate as a result of varying said first parameter from a first value to a second value; and means for using said first parameter first value, said rate of change of said first performance estimate, said performance model coefficients, and said first performance model to estimate said first metric.

Claim 10

A signal metric estimator apparatus for use with an Automatic Target Recognition (ATR) system having a plurality of adjustable parameters, said ATR receiving a plurality of sequential images of a scene and providing ATR observables, said signal metric estimator comprising: ancillary data means for providing non-sensory information data for said scene; performance measure estimating means connected to said ATR for receiving said ATR observables and connected to said ancillary data means for receiving said non-sensor informational data, said performance measure estimating means comparing said ATR observables to said non-sensory informational data and said performance measure estimating means determining the frequency of tracking of a predicted target, said performance measure estimating means providing a first performance measure estimate for said ATR; a first performance model for providing a corresponding model for said first performance measure estimate, said first performance model being a quadratic function of a first parameter of said ATR and of a first metric; means for varying said first parameter from a first value to a second value; means for determining a rate of change of said first performance measure estimate as a result of varying said first parameter from a first value to a second value; and means for using said first parameter first value, said rate of change of said first performance estimate, said performance model coefficients, and said first performance model to estimate said first metric.

Claim 11

Apparatus of claim 7 wherein said means for using said first parameter first value, said rate of change of said first performance estimate, said performance model coefficients, and said first performance model includes partial derivative means for taking a partial derivative of said first performance model with respect to said first parameter.

Claim 12

Apparatus of claim 8 wherein said means for using said first parameter first value, said rate of change of said first performance estimate, said first performance model coefficients and said first performance model includes means for determining an estimated metric from said partial derivative.