ID 原文 译文
45426 采用最大似然准则推导阴影衰落信道下不同调制阶数 NDA-EVM 统一的计算模型， The unified model to calculate different modulation order of NDA-EVM was analytically derived by maximum likelihood criterion.
45427 并以衰落因子为中间变量，建立 NDA-EVM 与 κ μ − 分布的联系， Moreover, the relationship between the κ μ − distribution and the NDA-EVM was built by using the attenuation factor of the channel as intermediate variable.
45428 据此推导 NDA-EVM 在 κ μ − 阴影衰落信道的理论下限，并化简给出几种典型信道的性能界限。 Thereafter, the lower bounds of the NDA-EVM over the κ μ − shadowed fading channels were formulated, which was also simplified for various typical channels.
45429 对所得结论进行理论分析和数值仿真模拟， The theoretical analysis was taken, moreover, numerical results were also conducted to verify the effectiveness of the derived formulation.
45430 结果表明：相较传统的 DA-SNR（data-aided signal to noise ratio）和DA-EVM（data- aided error vector magnitude），NDA-EVM 对 κ μ − 阴影衰落信道的评估具有最小均方根误差； It shows that NDA-EVM estimation has the lest root mean square error than data-aided signal to noise ratio (DA-SNR) estimation and error vector magnitude (DA-EVM) estimation over the k μ − shadowed fading channels.
45431 推导的下限与理论值有很高的吻合度，特别是在低 SNR 时为紧下界； The derived lower bounds closely match the theoretical values, especially at low SNR.
45432 下限与 κ μ − 阴影衰落信道参数均呈负相关特性，对信道变化非常敏感。 In addtion, the lower bounds are negatively related to all of the parameters of the κ μ − shadowed fading channels, which make it sensitive to the change of the fading channels.
45433 能量收集网络（energy harvesting network）是一种新型的计算机网络形式， Energy harvesting network is a new form of computer networks.
45434 它通过搜寻各类环境能源，将其转化成可用的电能，然后将这些电能作为主要或辅助的电源方式供给电子设备进行网络通信。 It can convert the environmental energy into usable electric energy, and supply the electrical energy as a primary or secondary power source to the electronic device for network communication.
45435 然而，能量收集过程具有极大的波动性和不确定性，传统方法基于解析概率分布函数刻画能量收集过程，无法准确模拟实际情况，导致节点死亡概率较高、可靠性无法保证。 However, the energy harvesting process has great volatility and uncertainty, the traditional analytical method based on probability distribution function to describe the energy collection process can not accurately simulate the actual situation, resulting in higher depletion probability of nodes, then the reliability cannot be guaranteed as a result.