衰落信道基于卡尔曼滤波的信噪比估计  

SNR Estimation of Fading Channel based on Kalman Filter

作　　者：刘世洪 夏洪君 蒋元兵 颜浩洋 穆刚 LIU Shihong;XIA Hongjun;JIANG Yuanbing;YAN Haoyang;MU Gang(Chongqing Jinmei Communication Co.,Ltd.,Chongqing 400030,China)

机构地区：[1]重庆金美通信有限责任公司,重庆400030

出　　处：《通信技术》2021年第1期44-50,共7页Communications Technology

摘　　要：无线通信场景中,由于复杂的电磁环境及移动通信双方之间的相对运动,使无线信道存在着严重的多径衰落及多普勒效应。信噪比是通信信道的重要衡量指标,直接指导通信策略的制定。针对多径衰落信道条件,提出基于卡尔曼滤波辅助的信噪比估计算法,利用卡尔曼滤波的方法对信道进行平滑,之后选取合适的长度进行信噪比估计。最后针对不同信道条件下信噪比估计的均值及MSE性能进行仿真,仿真结果表明,基于卡尔曼滤波辅助的信噪比估计算法不仅在高斯信道具有较高的估计精度,而且针对多径衰落信道有一定的估计性能。In the wireless communication scene,due to the complex electromagnetic environment and relative movement between mobile communication parties,the wireless channel has serious multipath fading and Doppler effect.The signal-to-noise ratio is an important measure of the communication channel and directly guides the formulation of communication strategies.Aiming at multipath fading channel conditions,a signal-to-noise ratio estimation algorithm based on Kalman filter assistance is proposed.This method uses Kalman filtering to smooth the channel,and then selects an appropriate length to estimate the signal-to-noise ratio.Finally,simulations are done on the mean value of SNR estimation and MSE performance under different channel conditions.The simulation results show that the signal-to-noise ratio estimation algorithm assisted by Kalman filter not only has high estimation accuracy in Gaussian channels,but also has certain estimation performance for multipath fading channels.

关 键 词：信噪比估计 卡尔曼滤波 多径衰落信道 多普勒效应 

分 类 号：TN911[电子电信—通信与信息系统]