基于认知驱动的变换域通信智能抗干扰方法

doi:10.3969/j.issn.1001-506X.2021.01.27

Abstract

Abstract:

In order to satisfy the actual requirements of intelligent anti-interference for unmanned aerial systems communication in the future, an intelligent system driven based on cognitive engine is designed to solve the limited openness and insufficient ability for traditional transform domain communication system (TDCS). Furthermore, three improving methods are proposed for cognitive engine-driven modules, including unknown interference approximation based on sparse approximation, transform learning interference classification based on sparse representation and target sparse analysis method for interference transformation. Simulation results show that, compared with the traditional classifier, the overall classification of interference in the classification module is increased by 5.2%, and it can be realized in an unsupervised learning. Meanwhile, the accuracy of traditional interference reconstruction is above 90%, and the optimal transformation analysis for different interference is achieved, which significantly improves the anti-interference performance of the system and makes the bit error rate of transmission close to the ideal level.

Key words: unmanned aerial system, transform domain communication, intelligent anti-interference, compressed sensing, sparse approximation, sparse representation

CLC Number:

TN92

Guisheng WANG, Guoce HUANG, Yequn WANG, Shufu DONG, Qinghua REN, Shuai WEI. Anti-interference method with intelligence for transform domain communication based on cognitive-engine[J]. Systems Engineering and Electronics, 2021, 43(1): 223-231.

Figures/Tables 9

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Anti-interference method with intelligence for transform domain communication based on cognitive-engine

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