Cognitive interference method based on Markov process decision

Abstract

The invention provides a cognitive interference method based on Markov process decision. Firstly an interference machine detects the main changes of the radar signals so as to identify the working mode of the radar and establish the Markov chain of working mode state transition, then the transition probability of the established radar working mode transition Markov chain is calculated by using theproper algorithm, and finally the radar working mode transition probability is converted into the matrix form to predict the next working mode of the radar so that the interference machine is enabledto interfere the radar signals to the greatest extent. The interference machine selects the proper interference mode for the working mode of the radar so that the benefit of interference is maximized. The radar interference threat is not assessed so as to avoid incomprehensiveness and inaccuracy of assessment. The next working mode of the radar can be further predicted according to the obtained radar working mode state transition matrix so that the interference machine is enabled to take the active position.

Description

technical field [0001] The invention relates to an information fusion and control decision-making method, in particular to an optimal decision-making method for realizing radar interference based on Markov state transition. Background technique [0002] Radar jamming decision-making has become one of the hot areas that researchers pay attention to. Many scholars have proposed various methods for radar jamming decision-making, which are mainly divided into two aspects: one is to allocate one jammer to one radar, and the other is to allocate multiple jammers to multiple radars. The premise of their realization is that it is necessary to make an assessment of the radar threat, and this kind of assessment has a wide range, for example, it needs to be assessed from the aspects of space domain, polarization domain, energy domain, time domain and frequency domain. One-sidedness, so it is not possible to accurately assess the threat of each radar. In many occasions, the evaluation...

AI Technical Summary

Problems solved by technology

[0003] (1) Since there are too many aspects of radar threat assessment, it is more often scored according to experienced experts, and subjective factors occupy a large part

[0004] (2) Most of the existing radar threat assessments only perform simple linear superposition, resulting in many methods that cannot accurately measure the radar threat, or cannot measure it comprehensively, and the processing method is relatively simple

[0005] (3) The selection of existing radar jamming strategies is more about using intelligent algorithms to assign jammers one-to-one or many-to-many according to the radar threat assessment, without taking into account that changes in radar operating modes will lead to Jammer's jamming effect reduced

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