ID 原文 译文
52187 在多用户同时同频发送信号的情况下，由于每个用户的解调参考信号叠加在一起，相互干扰，所以精确估计出每个用户的信道冲激响应具有很大的难度。 Since each user's demodulation reference signals are superimposed and interfere with each other in the case where multiple users simultaneously transmit signals at the same frequency, it is difficult to accurately estimate the channel impulse response for each user.
52188 文章针对5G系统物理上行控制信道(PUCCH)的发送格式4，利用不同用户的解调参考信号的特性，设计了一种特殊的信号矩阵， In this paper, a special signal matrix is designed for the transmission format 4 of the 5 G system Physical Uplink Control Channel(PUCCH) by using the characteristics of demodulation reference signals of different users.
52189 然后利用该信号矩阵，结合传统的单用户信道估计算法，提出了3种适用于5G系统PUCCH多用户复用情况下的信道估计算法，包括基于最小二乘(LS)的样条插值算法，基于LS的离散余弦变换(DCT)插值算法和基于线性最小均方误差(LMMSE)的DCT插值算法。 Then we combine this signal matrix with traditional single-user channel estimation algorithms to propose three channel estimation algorithms including Least Squares(LS)-based spline interpolation, LS-based Discrete Cosine Transform(DCT) interpolation algorithm, and Liner Minimum Mean Squared Error(LMMSE)-based DCT interpolation algorithm.
52190 最后对两个和4个用户的场景进行了仿真， Finally, the scenes of two users and four users are simulated.
52191 仿真结果表明，所提的3种信道估计算法均适用于5G系统PUCCH的发送格式4，对于工程中的应用具有很大的参考价值。 The simulation results show that three proposed channel estimation algorithms are applicable to the format 4 of 5 G system PUCCH, which has great reference value for engineering applications.
52192 基于低功耗蓝牙的接收信号强度指纹定位方式，文章提出了一种无需采集过多数据点建立指纹数据库且能及时矫正定位误差的定位方法。 In order to achieve fingerprint location based on the strength of low energy bluetooth received signal, a new fingerprint location method is proposed, which does not need to collect too many data points to establish fingerprint database and can correct the positioning error in time.
52193 该方法分为两个阶段，离线数据采集阶段，利用低秩矩阵填充理论恢复只有少量采集点的指纹数据库，减小前期工作量; In the off-line phase, we use the low rank matrix completion theory to recover the fingerprint database with only a small number of acquisition points to reduce the workload.
52194 在线数据匹配阶段，对指纹数据库进行聚类匹配后，将定位问题转化为压缩感知模型，提高定位精确度。 In the online stage, after clustering and matching the fingerprint database, the localization problem is transformed into compressed sensing model to improve positioning accuracy.
52195 对用户在线阶段的实时数据进行均方根操作、反距离权重插值矫正和完善指纹库。实验结果表明，提出的定位算法能够有效减少40%左右的前期数据采集工作量，并将定位误差由0. 93 m减小至0. 71 m。 Experimental results show that the proposed positioning algorithm can effectively reduce about 40% workload of early data acquisition and reduce the positioning error from 0. 93 m to 0. 71 m.
52196 导频序列在不同小区中不可避免地被复用，从而产生了导频污染，导频污染带来的干扰不会随着基站天线数的增加而减少。 Pilot sequences are inevitably multiplexed in different cells, resulting in pilot pollutions. The interference caused by pilot pollution does not decrease as the number of base station antennas increases.