초록 ▼

A sensor suite determines location and velocity information relating to a missile threat, which is converted to missile or rocket state estimates. The state estimates are transformed into time-invariant dynamic parameters, unique for each missile type. Estimated rocket dynamic parameters are compute

A sensor suite determines location and velocity information relating to a missile threat, which is converted to missile or rocket state estimates. The state estimates are transformed into time-invariant dynamic parameters, unique for each missile type. Estimated rocket dynamic parameters are computed for each target type being considered, and compared with a reference set of rocket parameters representing different target types. The estimated rocket parameters are compared with the reference parameters in a maximum-likelihood sense, and combined using fuzzy logic to identify the rocket type and the likelihood. The identified rocket type and likelihood is used to aid in determining the future location of the missile so countermeasure can be applied.

대표청구항 ▼

What is claimed is: 1. A method for estimating at least one of the type and future location of a missile based on information relating to its sensed present position and velocity, said method comprising the steps of: estimating from said sensed data a set of estimated parameters including at least

What is claimed is: 1. A method for estimating at least one of the type and future location of a missile based on information relating to its sensed present position and velocity, said method comprising the steps of: estimating from said sensed data a set of estimated parameters including at least one of mass flow rate, thrust, specific impulse, gravity-free burn-out velocity, burn-out-time, and mass at burn-out; comparing said set of estimated parameters with a database of a predetermined set of nominal values of mass flow rate, thrust, specific impulse, gravity-free burn-out velocity, burn-out-time, and mass at burn-out parameters for known missiles, to select the best match to said set of estimated parameters; accessing parameter reference information sets relating to the mass flow rate, thrust, specific impulse, gravity-free burn-out velocity, burn-out-time, and mass at burn-out parameters of that missile which is the best match; and using kinematic modeling, said sensed position and velocity, and said parameter reference information set of said best match, determining the future location of said missile. 2. A method according to claim 1, wherein said step of estimating from said sensed data a set of estimated parameters includes the steps of: receiving from a boost phase filter estimated rocket filter states; receiving from a store classification and parameter reference sets including dynamic and kinematic parameters relating to each state of each target hypothesis; iteratively computing from said estimated rocket filter states the gravity-free burn-out velocity and the time-to-burnout for each hypothesis; and computing from said estimated rocket filter states and said classification and parameter reference sets the estimated mass flow rate and the thrust level for each target hypothesis. 3. A method according to claim 1, wherein said step of comparing said set of estimated parameters with a database includes the steps of: receiving information including matched filter state data for each target hypothesis; compute the maximum likelihood for each hypothesis using correspondence of mass flow rate and nominal vacuum thrust with the corresponding parameters for each hypothesis; normalizing and weighting the maximum likelihood; and selecting as the correct rocket that one having the maximum weighted maximum likelihood. 4. A method for estimating the future location of a missile based on information relating to its sensed present position and velocity, said method comprising the steps of: generating a database of at least two of nominal mass flow rate, thrust, specific impulse, gravity-free burn-out velocity, burn-out-time, and mass at burn-out parameters for known missiles; estimating from said sensed data a set of estimated parameters including at least said two of mass flow rate, thrust, specific impulse, gravity-free burn-out velocity, burn-out-time, and mass at burn-out; comparing said set of estimated parameters with said database of at least two of nominal mass flow rate, thrust, specific impulse, gravity-free burn-out velocity, burn-out-time, and mass at burn-out parameters for known missiles, to select the best match to said set of estimated parameters; accessing parameter reference information sets relating to the mass flow rate, thrust, specific impulse, gravity-free burn-out velocity, burn-out-time, and mass at burn-out parameters of that missile which is the best match; and using kinematic modeling, said sensed position and velocity, and said parameter reference information set of said best match, determining the future location of said missile. 5. A method according to claim 3, further comprising the step of taking countermeasures to said missile.