Cooperative Guidance Considering Detection Configuration Against Target With a Decoy

We consider the scenario where two pursuers are required to intercept an enemy evader that launches a decoy. Under the assumption that all four aircrafts have first-order linear dynamic characteristics, a cooperative guidance law is designed in two stages: the unidentified decoy stage and the discriminated decoy stage. In the unidentified decoy stage, the predictive guidance law is designed based on the method of the highest probability interval (HPI). This guidance law can maximize the probability of intercepting the real target despite the decoy’s presence, thus providing an interception maneuver advantage for later cooperative guidance to the real target. In the discriminated decoy stage, based on the optimal control theory, an optimal guidance law considering the detection configuration is designed, which reduces the estimation error in the detection process and improves the interception performance. Simulation results verify the feasibility of the phased cooperative guidance law.

[1]  Yaakov Oshman,et al.  Guidance Without Assuming Separation , 2005 .

[2]  Yu Yao,et al.  Cooperative interception guidance for multiple vehicles: A receding horizon optimization approach , 2014, Proceedings of 2014 IEEE Chinese Guidance, Navigation and Control Conference.

[3]  Dany Dionne,et al.  Predictive Guidance for Pursuit-Evasion Engagements Involving Decoys , 2006 .

[4]  R. A. Best,et al.  Predictive Missile Guidance , 2000 .

[5]  Tal Shima,et al.  Intercept-Angle Guidance , 2011 .

[6]  Tal Shima,et al.  Blinding Guidance Against Missiles Sharing Bearings-Only Measurements , 2018, IEEE Transactions on Aerospace and Electronic Systems.

[7]  Tal Shima,et al.  Cooperative Multiple-Model Adaptive Guidance for an Aircraft Defending Missile , 2010 .

[8]  Tal Shima,et al.  Cooperative Differential Games Strategies for Active Aircraft Protection from a Homing Missile , 2010 .

[9]  Hannah Michalska,et al.  A predictive guidance law with uncertain information about the target state , 2006, 2006 American Control Conference.

[10]  T. Başar,et al.  A New Approach to Linear Filtering and Prediction Problems , 2001 .

[11]  H. Witsenhausen Separation of estimation and control for discrete time systems , 1971 .

[12]  Yaakov Oshman,et al.  Stochastic Cooperative Interception Using Information Sharing Based on Engagement Staggering , 2016 .

[13]  Tal Shima,et al.  Estimation Enhancement by Cooperatively Imposing Relative Intercept Angles , 2017 .

[14]  Amirreza Kosari,et al.  Robust Optimal Control for Precision Improvement of Guided Gliding Vehicle Positioning , 2018, IEEE Access.

[15]  Yaakov Oshman,et al.  Cooperative Interception in a Multi-Missile Engagement , 2009 .

[16]  Y. Oshman,et al.  Fusion of estimation and guidance using sequential monte carlo methods , 2005, Proceedings of 2005 IEEE Conference on Control Applications, 2005. CCA 2005..

[17]  C. A. Rabbath,et al.  Predictive Guidance for Pursuit-Evasion Engagements Involving Multiple Decoys , 2007 .

[18]  Shicheng Wang,et al.  Cooperative Intercept Guidance of Multiple Aircraft with a Lure Role Included , 2018 .

[19]  J. Meditch,et al.  Applied optimal control , 1972, IEEE Transactions on Automatic Control.

[20]  W. Wonham On the Separation Theorem of Stochastic Control , 1968 .

[21]  R. E. Kalman,et al.  New Results in Linear Filtering and Prediction Theory , 1961 .

[22]  Tal Shima,et al.  Optimal Cooperative Pursuit and Evasion Strategies Against a Homing Missile , 2011 .