ID	原文	译文
54287	最后在IPIX实测数据集上添加慢速微弱运动目标进行算法验证，	Finally, simulation experiments with measured data from IPIX are carried out to verify the effectiveness of the proposed method.
54288	结果表明本文提出的算法可以有效检测出落入海杂波多普勒通道中的慢速微弱目标，且不需要任何目标和杂波的先验信息。	Results show that the algorithm proposed in this paper can effectively detect the slow and weak target falling into the sea clutter Doppler channel without any prior information of targets and clutter.
54289	为了有效地解决使用深度神经网络求解波达方向(DOA)估计涉及到的大规模分类器的训练和部署实现，本文提出将传统的one-hot分类器分解为多个类别互质的小分类器，然后联合使用多个互质分类器的分类结果重构原始one-hot标签。	In order to effectively solve the training and deployment implementation of large-scale classifiers involved in deep neural network to solve direction of arrival(DOA)estimation, we propose to decompose the traditional one-hot classifier into small co-prime classifiers with relatively small label, and then reconstruct the original one-hot label by combining the classification results of co-prime classifiers.
54290	首先使用标签分解，将原始标签分解为多个互质的小标签，小标签对应的类别为原始类别对质数取余数的结果。	First, the original label is decomposed into a number of small co-prime labels. The corresponding category of the small labels is the result of the remainder of the prime number of the original label.
54291	其次，通过独立并行地训练每一个互质分类器，降低了大类别条件下分类器的训练难度。	Secondly, by training each co-prime classifier independently and in parallel, the difficulty of training classifiers under the condition of large categories is reduced.
54292	仿真结果表明，相比one-hot分类器，互质分类器网络的复杂度低，易于训练。	The simulation results show that compared with the one-hot classifier, the co-prime classifiers has lower complexity and is easy to train.
54293	另外，使用互质分类器进行DOA估计能够实现超分辨并且估计的精度比one-hot分类器以及稀疏贝叶斯学习等方法更高。	In addition, DOA estimation using co-prime classifiers can achieve super-resolution and the estimation accuracy is higher than that of one-hot classifier and sparse Bayesian learning method.
54294	无人机充当中继辅助物联网节点传输信号时，易遭受干扰强度动态变化的智能干扰等敌意攻击，	The Internet of Things node can transmit messages aided by the unmanned aerial vehicle who acts as the relay node, which are vulnerable to be attacked, such as the jammer who can change the interference intensity randomly.
54295	论文建立了抗敌意干扰攻防Stackelberg博弈模型，其中物联网节点、无人机和智能干扰机为博弈的3个参与者，	A Stackelberg game model of attacking and defensing anti-jamming was investigated in this thesis, the Internet of Things node, the unmanned aerial vehicle and a jammer were the three players in the game,
54296	推导出博弈均衡点及其存在条件，揭示了参与者的信道增益、距离等参数对物联网效用等性能的影响。	the Stackelberg equilibriums and its existence condition also were derived, which revealed the influence of channel gain, distance and other parameters on the utility of the system.