5G NR网络中一种新颖的移动用户速度估计方法  

A Novel Speed Estimation Scheme for Mobile Users in 5G NR Networks

作　　者：周宝龙 陆犇 杨洪生 唐亮[2] ZHOU Baolong;LU Ben;YANG Hongsheng;TANG Liang(Shanghai Jushri Technology lnc.,Shanghai 201803,China;Shanghai Institute of Microsystem And Information Technology,Chinese Academic of Sciences,Shanghai 200050,China)

机构地区：[1]上海瀚讯信息技术股份有限公司,上海201803 [2]中国科学院上海微系统所,上海200050

出　　处：《电讯技术》2025年第3期398-406,共9页Telecommunication Engineering

摘　　要：在蜂窝通信系统中,移动用户速度估计是一个颇具挑战性的课题。虽然有大量文献涉及这个问题,但是由于一些不符合实际的假设,导致绝大多数方法没法应用。为此,为5G NR(New Radio)移动用户提出一种新颖的速度估计方法,可以克服现有方法的缺点。基本思想是通过对用户位置求导来获得移动速度。然而在非直射径环境中,用户位置估计相当困难。为了获得移动用户的精确位置估计,提出一种鲁棒性的具有自同步能力的方位角估计算法和一种改进的时延估计算法。仿真表明,提出的速度估计方法在直射径环境下,90%的速度估计值的估计误差小于2%;在非直射径环境下,90%的速度估计值的估计误差小于7%。与现有方法相比,所提速度估计方法对噪声更具鲁棒性,并且更适合实际系统。Mobile user speed estimation is a challenging issue for cellular communication systems.There are plenty of literatures addressed on this problem.However,most of existing methods are not applicable due to some assumptions such as Jakes model etc.In this paper,a novel speed estimation scheme is proposed for mobile users in 5G new radio systems,which can successfully conquer the defects of the existing solutions.The proposed scheme basically differentiates user position to obtain mobile speed.However,user positioning is quite difficult in non-line of sight(NLOS)channels.In order to obtain precise position estimation of a mobile user,a robust self-synchronous azimuth of departure(RSSAOD)estimation algorithm and a min-max time advanced(TA)estimation algorithm are proposed.Extensive simulations verify that with the proposed scheme,90%of the speed estimations have above 98%correctness in the line of sight(LOS)channel and 93%correctness in the NLOS channel,respectively.Compared with existing methods,the proposed speed estimation scheme is more robust with respect to noise tolerance and is more suitable for practical systems.

关 键 词：5G 多输入多输出(MIMO) 速度估计 方位角估计 

分 类 号：TN911.23[电子电信—通信与信息系统]