基于认知无线电的智能抗干扰通信研究

Jing-ning Wang, Meng Liu, Yi Zhang
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引用次数: 0

摘要

为了解决复杂电磁环境下的干扰问题,NC-OFDM和TDCS是认知无线电的有效发射波形。TDCS的频谱效率和应用环境与NC-OFDM不同。仿真结果表明,NC-OFDM可以获得更高的频谱效率和更高的信噪比要求,而TDCS可以在不同扩频因子的低信噪比环境下良好地工作。当频谱空洞较小时,扩频是较好的选择。对于某些可以做出决策的参数没有阈值。提出了一种从多种波形中选择最优波形的人工智能算法。算法的输入参数包括信噪比、干扰带宽、频谱空穴等。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Intelligent anti-jamming communication with Cognitive Radio
In order to solve the interfere problem in complex electromagnetic environment, NC-OFDM and TDCS are efficient transmit wave form proposed for cognitive radio. The spectral efficiency and the applicable environment of TDCS are different from NC-OFDM. The simulation results show that NC-OFDM can obtain the higher spectral efficiency and the required SINR is higher, and TDCS can work well in lower SINR environment with different spreading factor. When there is little spectrum hole, spread spectrum is a better choice. There is no threshold of some parameter which can make decision. An artificial intelligence algorithm is proposed to select the optimal one from several wave forms. The input parameters of the algorithm include SINR, interference bandwidth, spectrum holes, etc.
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