ID 原文 译文
10704 最后通过训练序列解决盲源分离固有的幅度模糊性问题,最终恢复出有用接收信号。 Finally through the training sequence solving the problem of blind source separation the extent of the inherent fuzziness, eventually recover the useful signals. ‭
10705 仿真结果表明:所提出的基于JADE的干扰抑制方法可有效消除测距仪脉冲信号干扰,改善系统的误比特性能,增加传输可靠性。 Simulation results show that the proposed method of interference suppression based on JADE can effectively eliminate the rangefinder pulse signal interference, improve the bit error performance of the system, increase the transmission reliability.
10706 Massive多输入多输出(multiple-input multiple-output,MIMO)多小区系统时分双工(time division duplex,TDD)模式中,导频训练序列在小区间是复用的,小区间不正交的导频序列会造成严重地导频污染,从而降低信道估计和预编码的准确性,成为系统性能提升的瓶颈。 Massive multiple input multiple output (multiple input multiple output, MIMO) more community system time division duplex (time division duplex, TDD) mode, the pilot training sequence between the residential area is reuse, not orthogonal pilot sequences between zones to pilot will cause serious pollution, so as to reduce the accuracy of channel estimation and prediction coding, become the bottleneck of system performance improvement.
10707 针对此问题,提出基于小区交叉分类正交识别和上行导频功率控制的导频污染减轻方法。 Aiming at this problem, based on neighborhood orthogonal cross classification recognition and uplink pilot power control method of pilot pollution reducing.
10708 对所有小区进行交叉分类,给相邻的不同类小区分配正交的小区识别位,并把相应的识别位加到本小区终端发射的导频序列头部,使基站能够识别来自不同类小区终端的导频序列。 To cross classification of all district, adjacent to the different classes of district distribution of orthogonal community recognition, and add a corresponding identification to the launch of the pilot sequences terminal head, this area makes the base station to identify from different district terminal pilot sequences.
10709 同时控制同类小区内终端发射导频序列的功率,减少对交叉同类小区内基站的影响。 At the same time control the similar terminal pilot sequences of power in the district, the similar area to reduce the cross base station.
10710 理论推导和实验结果证明,所提方法不仅实现简单,而且可以有效地减轻多小区系统导频污染。 Theoretical derivation and experimental results show that the proposed method is not only simple, but also can effectively reduce multiple neighborhood system pilot pollution.
10711 基础设施即服务(infrastructure as a service,IaaS)模式"云训练"是基于IaaS云计算提出的武器装备系统模拟训练的模式,根据用户需求对训练资源进行预测调度是提高训练效果的重要保证。 Infrastructure as a service (IaaS) infrastructure as a service, "cloud training" is based on the IaaS cloud computing of weapons and equipment system simulation model, according to customer's demand forecast training resource scheduling is a important guarantee to improve training effect.
10712 分析了"云训练"中用户任务、资源需求特点,采用阈值法进行预处理,通过动态权值系综模型得到预处理结果。 ‭Analyzes the user tasks in "cloud" training, resource demand characteristic, preprocessing, threshold value method is used by dynamic weighting ensemble model preprocessing results are obtained.
10713 在此基础上,提出基于减法-模糊聚类的模糊神经网络的资源需求预测方法(subtractive-fuzzy clustering based fuzzy neural network,SFCFNN),并引入自适应学习率和动量项以提升收敛速度和稳定性。 ‭On this basis, the proposed fuzzy neural network based on subtraction - fuzzy clustering of resource demand prediction method (subtractive - fuzzy clustering -based fuzzy neural network, SFCFNN), and introducing the adaptive vector and momentum item in order to improve convergence speed and stability.