ID 原文 译文
5424 针对该问题，提出了一种基于信噪比估计的改进常模分数间隔均衡器（CMA-FSE）算法。 Aiming at this problem, an improved constant modulus fractionally spaced equalizer (CMA-FSE) basedon signal-to-noise (SNR) estimation was proposed.
5425 该算法将分数间隔均衡器（FSE）和常模算法（CMA）结合起来对无线紫外光信道进行盲均衡，使用接收信号的均方值衡量输入信噪比来确定最佳迭代步长，保证均衡算法快速收敛。 The algorithm combined the fractionally spaced equalizer (FSE)and constant modulus algorithm (CMA) for blind equalization of wireless ultraviolet channels. The input SNR wasmeasured by the mean square value of the received signal, and it was used to determine the best iterative step to ensurethe convergence of the equalization algorithm.
5426 仿真结果表明，改进 CMA-FSE 算法能在各种信噪比下快速收敛，并有效抑制码间干扰，改善系统误码率性能。 Simulation results show that the improved CMA-FSE algorithm canconverge rapidly under various SNR, and it can effectively suppress ISI and improve the BER performance of thesystem.
5427 与现有算法相比，改进算法信道跟踪和噪声抑制能力更强。 Compared with the existing algorithms, the improved algorithm is more useful in channel tracking and noisesuppression.
5428 研究了非高斯脉冲信道上的分组马尔可夫叠加传输机制。 Block Markov superposition transmission scheme was used over channels with symmetric alpha-stable (SαS)impulsive noise.
5429 基于精灵辅助等效系统，分析了分组马尔可夫叠加传输系统的性能下界。 Based on the equivalent genie-aided system, the lower bound of the block Markov superposition trans-mission system was analyzed.
5430 仿真结果表明，在特征因子不同的非高斯脉冲信道上，分组马尔可夫叠加编码技术均可获得较高的编码增益，且误比特率较低区域的误码性能均可与精灵辅助下界贴合。 Numerical simulations over non-Gaussian impulsive channels with different characteris-tic exponents show that, in the low bit-error rate region, performance of the block Markov superposition transmission system matches well with the lower bound.
5431 在 BER = 10 −5 时，分组马可夫叠加传输系统便可达到距离香农限约 0.85 dB 的性能。 Block Markov superposition transmission scheme performs well (with 0.85 dBaway from Shannon limits at the BER of 10 −5 ) over non-Gaussian impulsive channels.
5432 广泛存在的分布式拒绝服务（DDoS）攻击对于软件定义网络（SDN）的控制器形成了致命威胁，至今还没有一种安全机制能够防御。 DDoS attack extensively existed have been mortal threats for the software-defined networking (SDN) control-lers and there is no any security mechanism which can prevent them yet.
5433 将 SDN 和网络功能虚拟化（NFV）结合，提出了一种新颖的防范 DDoS 攻击 SDN控制器的前置检测中间盒（UDM）机制，在 SDN 交换机端口与用户主机之间分布式部署 UDM 以检测并拒止 DDoS攻击报文。 Combining SDN and network function virtual-ization (NFV), a novel preventing mechanism against DDoS attacks on SDN controller called upfront detectionmiddlebox (UDM) was proposed. The upfront detection middlebox was deployed between SDN switch interfaces and us-er hosts distributed, and DDoS attack packets were detected and denied.