Game and Information Theory Analysis of Electronic Counter Measures in Pursuit-Evasion Games
- ORNL
Two-player Pursuit-Evasion games in the literature typically either assume both players have perfect knowledge of the opponent s positions or use primitive sensing models. This unrealistically skews the problem in favor of the pursuer who need only maintain a faster velocity at all turning radii. In real life, an evader usually escapes when the pursuer no longer knows the evader s position. In our previous work, we modeled pursuit-evasion without perfect information as a two-player bi-matrix game by using a realistic sensor model and information theory to compute game theoretic payoff matrices. That game has a saddle point when the evader uses strategies that exploit sensor limitations, while the pursuer relies on strategies that ignore the sensing limitations. In this paper, we consider for the first time the effect of many types of electronic counter measures (ECM) on pursuit evasion games. The evader s decision to initiate its ECM is modeled as a function of the distance between the players. Simulations show how to find optimal strategies for ECM use when initial conditions are known. We also discuss the effectiveness of different ECM technologies in pursuit-evasion games.
- Research Organization:
- Oak Ridge National Laboratory (ORNL)
- Sponsoring Organization:
- ORNL other overhead
- DOE Contract Number:
- AC05-00OR22725
- OSTI ID:
- 940801
- Journal Information:
- IEEE Transactions on Systems, Man and Cybernetics Part A: Systems and Humans, Journal Name: IEEE Transactions on Systems, Man and Cybernetics Part A: Systems and Humans Journal Issue: 6 Vol. 38
- Country of Publication:
- United States
- Language:
- English
Similar Records
Problem of Group Pursuit in Linear Recurrent Differential Games
Multirobot Collaborative Pursuit Target Robot by Improved MADDPG