新型变步长LMS方法及OFDMA信号DOA估计中的应用(英文)
发布时间：2023-04-29 02:47
针对基站(BS)或第三方设备对移动终端快速定位的需求,为了提高最小均方误差(LMS)方法的收敛速度并降低稳态误差,提出了一种新的对数-sigmod可变步长LMS方法(LG-SVSLMS),并将该方法应用于正交频分复用多址(OFDMA)信号的波达方向(DOA)估计.基于LG-SVSLMS,构建了面向OFDMA信号的非盲DOA估计系统.LG-SVSLMS采用了结合sigmoid函数和对数函数的多参数步长更新函数,该方法控制了LMS初始和稳态阶段步长调整的幅度,从而同时实现了高的收敛速度和低的稳态误差.最后,通过仿真验证所提LG-SVSLMS的性能.仿真结果表明,在多源干扰信号和多径衰落信号与目标信号非同步到达第三方设备的场景下,基于LG-SVSLMS的非盲DOA估计系统能够准确估计目标信号的DOA,且估计误差在±3°之内.这种采用LG-SVSLMS的面向OFDMA信号的非盲DOA估计系统对基于自适应天线阵列的移动终端快速定位技术具有重要意义.
【文章页数】：7 页
【文章目录】：
1 A New Variable Step-Size LMS Method
1.1 LMS
1.2 Logarithmic-sigmod variable step-size LMS
2 Non-Blind DOA Estimation System for OFDMA Signals Based on LG-SVSLMS
2.1 System flow
2.2 Problems of DOA estimation from third-party devices
3 Simulation Results
3.1 Performance of LG-SVSLMS
3.2 Performance comparison between LG-SVSLMS and MUSIC
3.3 Performance of non-blind DOA estimation for OFDMA signals based on LG-SVSLMS
4 Conclusions
本文编号：3805008
【文章页数】：7 页
【文章目录】：
1 A New Variable Step-Size LMS Method
1.1 LMS
1.2 Logarithmic-sigmod variable step-size LMS
2 Non-Blind DOA Estimation System for OFDMA Signals Based on LG-SVSLMS
2.1 System flow
2.2 Problems of DOA estimation from third-party devices
3 Simulation Results
3.1 Performance of LG-SVSLMS
3.2 Performance comparison between LG-SVSLMS and MUSIC
3.3 Performance of non-blind DOA estimation for OFDMA signals based on LG-SVSLMS
4 Conclusions
本文编号：3805008
本文链接：https://www.wllwen.com/kejilunwen/xinxigongchenglunwen/3805008.html
