| ID | 原文 | 译文 |
| 54087 | 该技术通过部署大量的分布式接入点(Access Point，AP)以获得充分的宏分集增益，以提高用户服务质量。 | The technology can obtain sufficient macro diversity gain by deploying a large number of distributed Access Points(AP) to improve the quality of user service. |
| 54088 | 受信道相干时间的限制，系统中可供用户分配的正交导频资源非常有限，部分用户将不得不复用相同的导频，从而常规的复用导频(Multiplexed Pilot，MP)配置模式将引起严重的导频污染问题。 | The orthogonal pilot resources available for user allocation are very limited due to the restriction of channel coherence time, some users will have to reuse the same pilot sequences in the conventional multiplexed pilot(MP) configuration mode, which may cause serious pilot contamination problem. |
| 54089 | 因此，本文利用叠加导频(Superimposed Pilot，SP)配置模式，基于线性最小均方误差(Linear Minimum Mean Square Error，LMMSE)准则和最大比合并(Maximum Ratio Combining，MRC)技术，研究了无小区大规模MIMO系统的信道估计，并从理论上推导了系统上行频谱效率(Spectrum Efficiency，SE)的上限闭合表达式。 | Therefore, utilizing the superimposed pilot(SP) configuration mode and based on the linear minimum mean square error(LMMSE) criterion and the maximum ratio combining(MRC) technique, the channel estimation of Cell-Free massive MIMO system was investigated, and the upper bound closed-form expression of the uplink spectrum efficiency(SE) of the system was derived in this paper. |
| 54090 | 仿真结果表明，采用SP配置模式可有效减轻导频污染问题带来的影响，从而明显地提升系统的SE。 | The simulation results show that the SP configuration mode can effectively reduce the impact of pilot contamination, thereby significantly improve the SE of the system. |
| 54091 | 目前基于核相关滤波器的几种主流算法仍然存在目标漂移甚至跟丢的情况，本文算法在Staple:Complementary Learners for Real-Time Tracking(以下简称Staple)和Large Margin Object Tracking with Circulant Feature Maps(以下简称LMCF)两种算法基础上进行融合并改进。 | At present, several mainstream algorithms based on nuclear correlation filters still have target drift or even loss. The algorithm in this article is in fusion and improvement based on the two major algorithms, Staple: Complementary Learners for Real-Time Tracking(hereinafter referred to as Staple) and Large Margin Object Tracking with Circulant Feature Maps(hereinafter referred to as LMCF). |
| 54092 | 首先利用贝叶斯公式求解出当前帧的背景和前景的直方图，对前景直方图进行均衡化，以消除噪声; | First, the Bayesian formula is used to solve the histogram of the background and foreground of the current frame, and the foreground histogram is equalized to eliminate certain noise; |
| 54093 | 其次，利用巴氏系数计算出当前帧的背景和前景的直方图的相似度值，通过数据分析设定阈值，以此消减目标与背景过于相似的问题; | second, the Bhattacharyya Coefficient is used to calculate the histogram of the background and foreground of the current frame for similarity value, the threshold is set through data analysis to reduce the problem that the target and the background are too similar; |
| 54094 | 再次，根据所设阈值将直方图的bin值进行自适应，以此提高跟踪的分辨率; 然后利用LMCF算法求出当前帧的最大峰值和平均峰值相关能量(APCE)，并根据数据分析设定合适的阈值; | again, the bin value of the histogram is adapted according to the set threshold to improve the resolution of tracking; then the LMCF algorithm is used to calculate the maximum peak value and average peak correlation energy(APCE) of the current frame, and set an appropriate threshold based on data analysis; |
| 54095 | 最后将阈值范围内的最大值和APCE值与融合系数相结合，使算法达到自适应融合。 | finally, the maximum value within the threshold range and APCE value are combined with the fusion coefficient to make the algorithm achieve adaptive fusion. |
| 54096 | 本文算法(LMCF-Staple)在公开数据集平台OTB50、OTB100以及VOT2016上进行测试， | The algorithm in this paper(LMCF-Staple) is tested on the public data set platforms OTB50 and OTB100, the public data set platform. |