摘要
To meet the requirements of quick positioning of mobile terminals from base stations(BSs)or third-party devices,as well as to improve the convergence speed and reduce the steady state maladjustment of the least mean square(LMS)method,a new logarithmic-sigmoid variable step-size LMS(LG-SVSLMS)was proposed and applied to estimate the direction of arrival(DOA)of orthogonal frequency division multiple access(OFDMA)signals.Based on the proposed LG-SVSLMS,a non-blind DOA estimation system for OFDMA signals was constructed.The proposed LG-SVSLMS adopts a new multi-parameter step-size update function which combines the sigmoid function and the logarithmic function.It controls the adjustment magnitude of step-size during the initial and steady state phases of the LMS method to achieve both a high convergence speed and low steady state maladjustment.Finally,simulation was conducted to verify the performance of the LG-SVSLMS.The simulation results show that the non-blind DOA estimation system based on the LG-SVSLMS can accurately estimate the DOA of the target signal in the scenario where interference signals from multi-source and multi-path fading signals arrive at the third-party devices asynchronously with the target signal,and the estimation deviation is within±3°.The non-blind DOA estimation for OFDMA signals with the proposed LG-SVSLMS is of great significance for the instant positioning technology of mobile terminals based on the adaptive antenna array.
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.
基金
The Social Development Projects of Jiangsu Science and Technology Department(No.BE2018704)
the Technological Innovation Projects of Ministry of Public Security of China(No.20170001)。
