ID	原文	译文
18635	时间反转传输特有的时空聚焦特性使其具有天然的抗干扰和抗窃听能力，在单发射天线条件下也能获得较好的保密传输性能。	The time-reversed transmissionhas natural anti-jamming and anti-eavesdropping capability due to its unique spatial and temporal focusingproperty, so a good secrecy performance can be obtained even when the transmitter is equipped with singletransmitting antenna.
18636	该文研究两用户时间反转下行多址安全传输系统中，发送滤波器脉冲响应的优化问题。	This paper studies the optimization of the transmit filter impulse response in a two-usertime-reversed downlink multiple access secure transmission system.
18637	根据互惠原则将两个发送滤波器的联合优化问题转换为各滤波器的独立优化问题，进一步将其转换为寻找最大特征值及其对应的特征向量的问题，并通过迭代算法进行求解。	The joint optimization problem of twotransmitting filters is transformed into the independent optimization problem of each filter based on reciprocityprinciples. This problem is further converted into the problem of finding the largest eigenvalue and itscorresponding eigenvector which is solved by iterative algorithm.
18638	仿真结果表明，针对保密和速率优化预处理滤波器后，系统的可达保密速率明显优于采用常规时间反转预处理滤波器时的系统和直接传输系统。	The simulation results show that byoptimizing the pre-filter for sum secrecy rate, the system's sum secrecy rate is promoted and is obviously higherthan that of the conventional time-reversed pre-processing filter system and direct transmission system.
18639	由于无线传感网络(WSN)存在能量和带宽的限制，在网络中直接传送模拟信号受到了极大地制约，因此对模拟信号量化是节省网络能量和保证有效带宽的重要手段。	Due to the limitation of energy and bandwidth in Wireless Sensor Networks(WSN), the directtransmission of analog signals in the network is greatly restricted. Therefore, quantization of analog signals isan important means to save network energy and ensure effective bandwidth.
18640	为此，该文以融合中心的重构绝对均值误差最小为原则，设计一种网络量化及能量优化方法。	To this end, based on the principleof minimum absolute mean reconstruction error a network quantization and energy optimization method isdesigned in this paper.
18641	首先，针对单传感器，在能量固定的情况下推导了最优量化位数及在量化位数固定的情况下推导了最优能量分配。	Firstly, for single sensor, the optimal quantization bit number is derived under thecondition of fixed energy and the optimal energy distribution is derived under the condition of fixedquantization bit number.
18642	其次，在单传感器的基础上，进一步推导多传感器情况下最优量化位数及最优能量分配。	Secondly, on the basis of single sensor, the optimal quantization bit number andoptimal energy allocation are further deduced in multi-sensor case.
18643	以上两种情况都考虑了传感器测量噪声及信道衰落损耗。	In both cases, the sensor measurement noiseand channel fading loss are considered.
18644	最后，通过数值仿真方法验证了文中所提方法的正确性，并将其与等能量分配进行了比较，获得了较好的效果。	Finally, the numerical simulation results show that the proposedmethod is correct and better than the equal energy distribution.