ID	原文	译文
5504	通过在 K 分布海杂波环境下对 Swerling Ⅰ型起伏目标的跟踪实验，证明了所提方法具有比稳健多伯努利滤波器更优的多目标势估计、状态估计和杂波率估计性能。	The simulation results of Swerling type Ⅰfluctuating targets tracking in K distributed sea clutter show that, the proposed algorithm is superior in performance to therobust multi-Bernoulli filter in terms of state estimation, cardinality estimation, as well as clutter rate estimation.
5505	针对物联网无线携能通信系统中能量输送和信息传输的差异性需求，提出了一种“信息−能量”动态切换的机会安全传输方案。	Aiming at the different requirements of energy transmission and information transmission in simultaneouswireless information and power transfer (SWIPT), an opportunistic transmission scheme was proposed for enhancingphysical layer security.
5506	首先，考虑多小区、多用户、多窃听者的时域切换型携能通信网络模型，发送端根据信道状态在能量输送与信息传输之间动态切换，改变了传统能量输送与信息传输的固定分配方案，从而满足能量输送和信息传输的差异性需求。	Firstly, a SWIPT network with multi-cells was considered where multi-users, multi-eavesdroppersand the users were assumed to adopt time-switching based receivers and employ non-linear conversion model to harvestenergy.
5507	在此基础上，综合分析了能量传输和信息传输的性能，包括能量传输的稳定性和效率以及在窃听者独立窃听、联合窃听场景下信息传输的可靠性和安全性。	The transmitter could dynamically switch between information transmission and power transfer according to thechannel state, breaking the traditional fixed slot allocation scheme of energy transmission and information transmission.On this basis, the performances of energy transmission and information transmission were analyzed comprehensively, in-cluding the stability and efficiency of energy transmission, and the reliability and security of information transmission inthe scenario of independent eavesdropping and joint eavesdropping.
5508	然后，分析了切换门限对系统性能的影响，并在能量约束条件下，为兼顾系统安全性和可靠性，设计了最大化保密吞吐量的切换门限优化算法。	Next, a switching threshold optimization model wasgiven to maximize its secrecy throughput under the constraint of the energy transmission, the reliability and secrecy per-formance requirements of information transmission.
5509	最后，仿真证明了所提方案的有效性。	Finally, simulation results verify the validity of the proposed scheme.
5510	协同车辆安全系统依靠周期性广播的单跳数据分组来追踪周围车辆，车辆密度过高会导致信道拥塞，严重影响协同车辆安全系统的性能。	Cooperative vehicle safety system (CVSS) rely on periodical beacons to track neighboring vehicles. High trafficdensity often causes channel congestion, seriously damaging the performance of CVSS.
5511	现有的拥塞控制策略仅保证网络层的性能，没有考虑车辆不同交通场景下的微观服务需求。	Existing congestion control strate-gies aim to ensure the performance in network layer, without considering the service requirements of vehicles in differentdriving contexts.
5512	为解决该问题，提出了一种基于网络效用最大化理论的分布式拥塞控制策略。	To solve the problem, a distributed congestion control strategy using network utility maximization (NUM)theory was proposed.
5513	该策略首先提出了车联网信道资源分配的网络效用最大化模型，并且提出了反映车辆安全需求的效用函数；	First of all, the NUM model for channel resource allocation was introduced. A utility function reflect-ing vehicle's safety requirements was proposed in the model.