ID |
原文 |
译文 |
22945 |
分析了谐振周期与目标宽度的关系并由此估计目标下表面的位置,结合去除虚像以后的目标前表面位置,重构目标形状。 |
The relationship between the resonant period and the target width is analyzed and the position of the back surface of the target is estimated. The virtual image around the front surface of target is removed by means of phase difference. The whole target shape is reconstructed according to the front surface and back surface of the target. |
22946 |
实验结果验证了提出方法的有效性以及对噪声的鲁棒性。 |
The experimental results verify the effectiveness of the proposed method and the robustness to noise. |
22947 |
针对传统天线选择算法在大规模天线阵列应用中的局限性,该文在多用户场景下提出一种基于容量相关字典的 5G 毫米波大规模天线随机选择算法。 |
In order to solve the limitation to use the traditional antenna selection algorithm in a massive antenna for fifth Generation (5G) system, a random antenna selection algorithm based on the dictionary of capacity correlation in multi-users scenario is proposed. |
22948 |
该算法通过特定环境中不同位置处的多用户与基站的交互,快速提取大规模天线单元间容量的强弱相关特性,并建立相关字典; |
Before the dictionary is built, the correlation characteristics among antenna units are abstracted by the interactions between the base station and users at different locations. |
22949 |
在天线选择时,先搜索最优信道容量单元连接射频链路,再随机选择相关字典中与最优单元容量相关大的天线单元接入其余射频链路。 |
It needs to search the antenna unit with optimal capacity to connect one Radio Frequency (RF) link, and the reminder RF links can select the antennas randomly which have the large correlation with the optimal one in the dictionary. |
22950 |
该方法大大降低了传统天线选择算法应用的复杂度,只与环境有关且较为稳定,当新用户加入时也无需重新建立相关字典。 |
The method is applicable to massive antennas system because of its low complexity and stability. Moreover, there is no need to renew the dictionary for coming new users. |
22951 |
该方法通过损失一部分性能来换取较低的复杂度,适用于天线单元多的大规模天线阵列。此外,该文在室内开放式办公室开展了 26 GHz 视距和非视距下的大规模天线信道测试,分析了不同场景下的天线阵列行间单元间的容量相关性,并对该算法的系统信道容量性能进行了实验验证。 |
In addition, the massive antenna channel measurements in an open office including line-of-sight and none-line-of-sight at 26 GHz are carried out to analyze the capacity correlations among the antenna units located in different rows as well as to verify the system capacity performance with the random antenna selection algorithm proposed in this work. |
22952 |
针对低照度下图像降质严重的问题,该文提出一种基于边界约束与图像亮度的低照度图像增强算法。 |
The aim of this paper is to achieve a low-lighting image enhancement method by using the similarity between fog image and inverted low illumination image. |
22953 |
该算法首先通过改进的边界约束对伪雾图进行透射率估计,并对其进行优化; |
The transmittance estimation of the pseudo-fog image is estimated by the improved boundary constraint, and then it is optimized. |
22954 |
同时从伪雾图“雾”的形成原理出发,利用低照度图像的亮度分量进行伪雾图大气光值的估计; |
Based on the formation principle of pseudo fog, the light intensity of pseudo fog map is estimated by using the brightness component of low illumination image. |