Abstract
In modern warfare, due to the increasingly complex electromagnetic environment, cognitive confrontation will become the main form of war. Effective interference with enemy radars is of great importance for taking the lead in the battlefield. The evaluation of the synergistic interference effect is an important indicator to measure the performance of the interference equipment. According to the evaluation result, the interference strategy can be changed in time to achieve the best interference revenue and provide a strong guarantee for the successful penetration of the target. In this paper, the discovery probability and positioning accuracy of radar network are used as evaluation indicators to establish an evaluation model. The interference power, interference frequency, interference timing and interference pattern are used as membership functions. The distance, false alarm probability and different interference strategies are studied. The simulation shows that proper false alarm probability, closer distance and proper interference strategy can improve the interference benefit and provide a theoretical basis for obtaining the best interference effect in the actual battlefield.
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Acknowledgment
The paper is funded by the National Natural Science Foundation of China (Grant No. 61701134), National key research and development program of China (Grant No. 2006YFF0102806), the Natural Science Foundation of Heilongjiang Province, China (Grant No. F2017004), and the Fundamental Research Funds for the Central Universities of China (No. HEUCFM180802 and No. HEUCFM180801), and the International Exchange Program of Harbin Engineering University for Innovation oriented Talents Cultivation.
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Ma, J., Shi, B., Che, F., Zhang, S. (2019). Research on Evaluation Method of Cooperative Jamming Effect in Cognitive Confrontation. In: Han, S., Ye, L., Meng, W. (eds) Artificial Intelligence for Communications and Networks. AICON 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 287. Springer, Cham. https://doi.org/10.1007/978-3-030-22971-9_4
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DOI: https://doi.org/10.1007/978-3-030-22971-9_4
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