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基于认知无线电思想设计了一种多参数联合自适应通信抗干扰决策引擎,并利用遗传算法(Genet-ic Algorithm)作为决策算法,实现了系统频率、功率、调制方式、信道编码方式等参数的自适应选择。文章给出了算法的流程和仿真分析,仿真结果表明,该引擎对单目标函数以及有偏好的多目标函数的参数选择与理论值相符,验证了抗干扰决策引擎实现参数自适应选择的可行性和有效性。
Based on the idea of cognitive radio, a multi-parameter joint adaptive communication anti-jamming decision-making engine is designed and the genetic algorithm (Genet-ic Algorithm) is used as a decision algorithm to realize the system parameters of frequency, power, modulation, channel coding Adaptive choice. The article gives the flow chart and the simulation analysis of the algorithm. The simulation results show that the engine agrees well with the theoretical values of the single objective function and the preference multi-objective function, and verifies the feasibility of the anti-interference decision engine to realize the adaptive selection of parameters And effectiveness.