| ID | 原文 | 译文 |
| 17255 | 根据延迟转发电文的原始电文位置与干扰台间的空间关系，利用ADS-B地面站获取的延迟转发电文位置及时间戳，采用多点定位技术实现对干扰台定位。 | According to the spatial relationship between the positions of the original messages of those delay-forwarding messages and the jammer, the positions of thedelay-forwarding messages received by ADS-B ground station and their received time stamps are used to locatethe position of jammer with the multilateration technique. |
| 17256 | 仿真结果表明，利用瞬时速度与平均速度间的差异性可以有效地实现对延迟转发电文存在与否的检测，干扰台的定位精度与ADS-B地面站的定时精度、采用定位的电文数目、干扰台与航线间距离和干扰台方位等因素有关，且采用正视区域的位置电文可以获得对干扰台较好的定位性能。 | The simulation results show that the differencebetween the instantaneous velocity and the average velocity can effectively detect the presence or absence ofdelay-forwarding messages, the positioning accuracy of jammer is related to the timing accuracy of ADS-Bground station, the number of messages used for positioning, the distance between jammer and track and theazimuth of jammer. The better positioning performance of jammer can be obtained by using the messagepositions in side-looking area. |
| 17257 | 该文方法可以使ADS-B地面站独立地检测延迟转发干扰和定位相应干扰台。 | The proposed method can help the ADS-B ground station independently todetect the delay forwarding interference and to locate the corresponding jammer. |
| 17258 | 为解决非高斯噪声背景下，基于贝叶斯Fisher信息矩阵和基于互信息的节点选择不一致的问题，该文提出一种基于多目标优化的节点选择方法。推导出节点噪声为混合高斯分布时的贝叶斯Fisher信息矩阵和互信息，将节点个数、选择的节点对应的Fisher信息矩阵和互信息共同作为优化的目标函数。 | To overcome the flaw that the sensor selection methods based on either of Bayesian Fisher information matrix or mutual information could not provide coincident results, the multiple objective optimal technology is developed for sensor selection by minimizing the number of sensors, maximizing corresponding Bayesian Fisher information matrix and mutual information of the selected sensors. |
| 17259 | 提出利用基于分解的多目标优化方法寻找Pareto最优解，并采用与理想解相似的偏好排序技术(TOPSIS)从所有Pareto最优解中选择最终的节点选择方案。 | Then, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) approach is proposed to find the candidate that can better trade off the cost and two performance metrics. |
| 17260 | 仿真实验结果表明，基于多目标优化的节点选择方法选择的节点具有更优更稳健的定位精度。 | Comparison results demonstrate that the proposed method can find a better sensor group, and ultimately, its overall localization performance is more stable and accurate. |
| 17261 | 无线传感网络(WSN)具有无标度网络的特征，通常工作在无人值守的开放性环境中，极易遭受到各种蓄意攻击。 | Wireless Sensor Network (WSN) has the characteristics of scale-free network, usually works in anunattended open environment, and is vulnerable to a variety of deliberate attacks. |
| 17262 | 攻击使得网络发生故障，甚至会导致整个网络瘫痪。 | The attack causes thenetwork to break down, and even causes the whole network to be paralyzed. |
| 17263 | 该文基于复杂网络领域的无标度网络，构建具有无标度特性的无线传感网络模型。 | In this paper, the scale-freenetwork in complex network is taken as the research object, and a scale-free wireless sensor network model isconstructed. |
| 17264 | 利用烟花算法及粒子群算法(PSO)寻优过程中的搜索能力、种群多样性等优点，提出了一种FW-PSO算法，该算法在全局搜索能力和收敛速度上具有较好的性能。 | Using the advantages of Fireworks algorithm and Particle Swarm Optimization (PSO) algorithm,such as search ability and population diversity, the FW-PSO (FireWorks and Particle Swarm Optimization)algorithm is proposed, which has good performance in global search ability and convergence speed. |