Rapid aim identification for surface to air missiles with a hierarchical search

Ravindra, Vishal Cholapadi; Lin, Xiangdong; Li, Lin; Bar‐Shalom, Yaakov; Gottesman, Stephen R.

doi:10.1117/12.667005

Cited by 3 publications

(4 citation statements)

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“…In [14] the DE algorithm was used to estimate a twodimensional parameter vector ([c ao]') in a hierarchical manner, by applying the genetic search technique for a set of grid points representing possible values for QPamax and QPemax in (3) and (6), respectively. The grid point giving the best fitting solution was subsequently used in the estimation process to obtain the optimal parameter estimates.…”

Section: The Evolutionary Genetic Algorithmmentioning

confidence: 99%

“…In [9], a mathematical model was presented for a missile under PPN with a changing velocity (a direction change as well as a speed change) to intercept a nonmaneuvering aircraft. The model considered in [14] is simpler than the one from [9] because some of the acceleration parameters considered in [9] are only marginally observable and they are not necessary for the purpose of aim identification. Also, the maximum missile turn rates in the horizontal (azimuth) as well as the vertical (elevation) planes were obtained in [14] from a set of grid points, rather than assumed fixed as in [9].…”

Section: Introductionmentioning

confidence: 99%

“…The model considered in [14] is simpler than the one from [9] because some of the acceleration parameters considered in [9] are only marginally observable and they are not necessary for the purpose of aim identification. Also, the maximum missile turn rates in the horizontal (azimuth) as well as the vertical (elevation) planes were obtained in [14] from a set of grid points, rather than assumed fixed as in [9]. The missile's motion parameters were described by a two-dimensional vector consisting of its proportional navigation constant and its (assumed) constant axial acceleration.…”

Section: Introductionmentioning

confidence: 99%

“…However, not much has been done on identifying/classifying the missile from the aircraft's point of view (using angle-only measurements) to infer if the missile is aimed at the aircraft (where the sensor is located) or not. The recent paper [9] considered the problem of identifying several guidance parameters of a missile aimed at an aircraft, and [14] simplified the model for the purpose of aim identification. This provides the background for the current work.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Aim Identification with a Minimal Parameter Set

Ravindra

Bar‐Shalom

Gottesman

2007

2007 IEEE Aerospace Conference

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This paper considers the problem of using passive (line-of-sight angle) observations of a surface to air or an air to air missile (pursuer) from an aircraft (evader), to infer whether the missile is or is not aimed at the aircraft. The observations are assumed to be made only on an initial portion of the pursuer's trajectory. The approach is to model the trajectory of the missile with a number of kinematic and guidance parameters, estimate them and use statistical tools to infer whether the missile is guided toward the aircraft or not. A mathematical model is presented for a missile under pure proportional navigation with a changing velocity (direction change as well as speed change), to intercept a nonmaneuvering aircraft. A maximum likelihood estimator (MLE) is used for estimating the missile's motion parameters and a goodness-of-fit test is formulated to test if the aircraft is the aim or not. Using measurement data from several realistic missiles aimed at an aircraft, it is shown that the proposed method can solve this problem successfully. The key to the solution, in addition to the missile model parametrization, is the use of a reliable global optimization algorithm for the MLE. The estimation/decision algorithm presented here can be used for an aircraft to decide, in a timely manner, whether appropriate countermeasures are necessary.

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Section: The Evolutionary Genetic Algorithmmentioning

confidence: 99%