Cognitive adversarial modeling method under incomplete information condition

Abstract

The invention discloses a cognitive confrontation modeling method under an incomplete information condition, and the method comprises the steps: combing anti-interference measures of a radar based on domain knowledge and public information on the basis of obtaining main technical parameters of the radar, and proposing an empirical formula of a corresponding anti-interference improvement factor, which comprises the reasonable setting of a false target recognition rate by the radar; after a simulation scene is determined, according to position information of a jammer and a radar, the interference-to-signal ratio of interference power on a radar antenna aperture is calculated by adopting a traditional radar power suppression coefficient calculation formula, and an interference benefit calculation method is provided for power suppression of the jammer and a deception jamming pattern. The invention further provides a strategy matrix construction method for constructing a double-matrix Stackelberg game, the recognition probability of the radar on false target deception is used as uncertain information, a simulation experiment is performed on a confrontation scene under the condition of one-to-one incomplete perception information of the radar through a jammer, and the game effect in a specific confrontation environment is inspected.

Description

technical field [0001] The invention belongs to the technical field of radar countermeasure modeling and simulation under complex electromagnetic environment, and particularly relates to a cognitive countermeasure modeling method under the condition of incomplete information. Background technique [0002] Cognitive confrontation is a new concept of information confrontation that emerged with electromagnetic spectrum warfare, that is, through the electronic reconnaissance system to perceive the status of the opponent in real time, adjust its own confrontation strategy, and maximize the interference / anti-interference efficiency. The existing cognitive confrontation is based on the assumption that the state information of the opponent is fully perceived, and corresponding countermeasures are formulated in power allocation, working frequency band, confrontation time and airspace, and a benefit evaluation model is established; however, the actual confrontation is an "open loop". ...

AI Technical Summary

Problems solved by technology

Similarly, for the jamming party, it is impossible to fully grasp the anti-jamming measures and signal processing methods of the radar, especially the ability to identify false targets. In the actual confrontation process, the radar can only be obtained through the electronic support system. The effectiveness of releasing interference does not entirely depend on the change information of the radar. For example, the traditional suppression coefficient does not consider the anti-jamming improvement factor of the radar, so it can only express the signal-to-interference ratio on the surface of the radar antenna

Under the condition of incomplete information, the existing artificial intelligence-based confrontation models and effectiveness evaluation methods do not conform to the actual confrontation environment, and it is impossible to achieve real cognitive confrontation

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