Modified Variable Step Size FLOM-CMA Based on Lorentzian Function under Impulse Noise

摘要：

　　Aiming at the problem that the traditional equalization algorithm under impulse noise is difficult to suppress impulse noise and achieve equalization,a new modified variable step size FLOM-CMA algorithm based on Lorentzian function is proposed in this paper.The proposed algorithm has modified the cost function to made full use of the phase information of signal to correct the phase rotation.Also,by adjusting the FLOM of cost function,that impulse noise is restrained effectively.Furthermore,the Lorentzian function is use to update the step size to make sure it is is appropriate for each equalization point.Simulation experiments show that,compared with FLOM-CMA and VS-FLOM-CMA,the proposed algorithm that the proposed algorithm achieves higher convergence accuracy with similar convergence speed.And under different impulse noise conditions,the robustness of the algorithm is better.

作者: Liao Xichang Lei Yingke

作者单位: National University of Defense Technology School of electronic countermeasures Hefei,China

会议类型: 国际会议

会议名称: 2018 2nd International Conference on Electronic Information Technology and Computer Engineering (EITCE 2018)(2018第二届电子信息技术与计算机工程国际会议)(EITCE2018)

会议地点: 上海

会议语种:英文

页码: 1-5

在线出版日期: 2018-10-12（万方平台首次上网日期，不代表论文的发表时间）