摘要
针对可见光在非视距链路下通信误码率较高的问题,提出基于压缩感知改进型树状随机搜索的信道估计导频优化算法.该算法结合了树状结构,采用树的分支结构避免算法陷入局部最优化,使用阈值策略裁剪生成树,降低算法运算复杂度.仿真结果显示该算法在重构精度和树状导频随机搜索算法相同的情况下,运算复杂度为后者的1/4.
A channel estimation pilot optimization algorithm based on compression sensing improved tree pilot random search was proposed in order to solve the problem of high BER of visible light communication in Non Line of Sight.The algorithm combined tree structure and tree branch structure to avoid local optimization.Threshold strategy was used to cut the tree to reduce the complexity of the algorithm.Simulation results show that when this algorithm has the same reconstruction accuracy with that of the tree pilot random search algorithm,the complexity of this algorithm is 1/4 of the latter.
作者
胡晓莉
李永伟
秦岭
王凤英
HU Xiaoli;LI Yongwei;QIN Ling;WANG Fengying(Information Engineering School,Inner Mongolia University of Science and Technology,Baotou 014010,China)
出处
《内蒙古科技大学学报》
CAS
2022年第1期48-52,共5页
Journal of Inner Mongolia University of Science and Technology
基金
国家自然科学基金资助项目(61661044).
关键词
可见光通信
压缩感知
导频优化
信道估计
visible light communication
compressed sensing
pilot optimization
channel estimation
