基于复频域bat随机采样的网络信号分离算法

摘要

为提高高频移动网络信号分离算法的抗衰落性能,提出基于复频域球状点相邻传输bat (boll approach transmission)随机采样优化机制的高频移动网络信号分离算法.基于复数域分离,构建移动网络超高频信号接收模型;采取酉映射-上三角映射方法,结合H es sian矩阵,改善算法精度下降问题;计算相邻采样频率在复数域上的相关系数,获取最佳目标函数,采用旋转角度精度提升机制,提高信号抗衰落性能.仿真结果表明,与采样频率固定抽取S2FE算法、频率梯度混沌分离FG-CS算法、角度化混频分离联合JAMS算法相比,所提算法具有更强的信号抗衰落性能与更低的混频率.%To improve the anti-fading performance of high-frequency mobile network signal separation algorithm,the mobile network signal separation algorithm based on complex frequency domain bat optimization mechanism was proposed.The mobile network UHF signal receiving model was constructed based on complex domain separation.Taking the method of unitary mapping on triangular mapping mode,and combining Hessian matrix,the precision of the algorithm was improved.The correlation coefficient of adjacent sampling frequency in the complex domain was calculated,to obtain the optimal objective function,and the angle rotation irnproving rnechanism was used to improve the anti-fading performance of signals.Simulation results show the proposed algorithm has stronger anti-fading performance and lower mixing rate compared with sampling frequency fixed extraction algorithm S2FE,frequency gradient chaos separation algorithm FGCS,as well as joint algorithm of angular algorithm mixing separation JAMS algorithm.