ID 原文 译文
48086 仿真试验表明,在信噪比为-5dB时,LFM信号的调频斜率和起始频率估计精度分别比基于Radon模糊变换(Radon-ambiguity transform,RAT)和分数阶傅里叶变换(fractional Fourier transform,FRFT)结合的离散谱校正算法提高了约2%和4.5%,带宽和脉冲宽度估计的均方根误差分别小于2.4MHz和0.025μs; Simulation experiment shows that when SNR is 5 db, the frequency modulation slope and initial frequency of LFM signal estimation precision than based on Radon transform respectively (Radon - ambiguity transform, RAT) and fractional Fourier transform, fractional Fourier transform, the FRFT) combined with the discrete spectrum correction algorithm is increased by about 2% and 4.5%, bandwidth and pulse width, respectively, the root mean square error of the estimation is less than 2.4 MHz and 0.025 mu s;
48087 当采样点不大于4 096时,计算量比插值FRFT算法降低了约70%,证明了该算法具有高估计精度和低运算量的优点。 When sampling point is not more than 4, 096, FRFT than interpolation algorithm reduces the amount of calculation is about 70%, show that the algorithm has the advantages of high accuracy and low computational complexity.
48088 为提高认知无线电多输入单输出（cognitive radio multiple input single output,CR-MISO）系统传输速率,给出一种基于波束成形的用户选择算法。 For cognitive radio multiple input single output (cognitive radio multiple input single output, CR - MISO) system transmission rate, given a user selection algorithm based on beam-forming.
48089 假设信道状态信息已知,算法采用零空间理论消除对主用户（primary user,PU）干扰和优化迫零波束成形（zero-forcing beamforming,ZFBF）技术消除认知用户（cognitive user,CU）间干扰。 Assumes that the channel state information is known, the algorithm USES the theory of zero space to eliminate the primary user (primary user, PU) interference and optimize forced zero beam-forming (zero - forcing beamforming, ZFBF) technology to eliminate cognitive users (cognitive user, CU) interference.
48090 考虑发射功率限制,依次选择CU进行注水功率分配实现最大化系统传输速率。 Considering transmission power limit, select CU in water injection power allocation maximize system transmission rate.
48091 此外,在迭代中采用正交三角分解（orthogonal triangular decomposition,LQ）减少算法复杂度。 In addition, in the iterative orthogonal triangular decomposition (orthogonal triangular decomposition, LQ) to reduce algorithm complexity.
48092 数值分析表明,本算法系统的传输速率与PU的干扰门限大小无关,且比采用近正交用户选择算法的系统传输速率高4。 Numerical analysis shows that the algorithm of the system transmission rate has nothing to do with PU interference threshold size, and nearly orthogonal users than adopted high transmission rate 4 selection algorithm of the system.
48093 针对模糊时间序列预测理论多局限于短期时间范围预测以及对不确定数据集模糊变化趋势描述和论域区间划分研究不足的问题,构建了参数自适应的长期直觉模糊时间序列预测模型。 For fuzzy time series forecasting theory more limited by the boundaries of the short time prediction and description of uncertain fuzzy data sets trends domain interval differentiate the problem of insufficient research and theory, constructs the parameter adaptive intuitionistic fuzzy time series prediction model for a long time.
48094 新模型通过引入滑动窗口机制和参数自适应的直觉模糊C均值聚类算法优化论域区间划分,利用矢量预测技术解决时间序列长期范围预测误差积累的问题, New model by introducing the sliding window mechanism and parameter adaptive intuitionistic fuzzy c-means clustering algorithm domain interval differentiate optimization theory, using the vector prediction technology solve the problem of time series long range prediction error accumulation,
48095 有效地提高了复杂环境下时间序列长期趋势预测的精度,扩展了直觉模糊时间序列预测理论的应用范围。 effectively improve the long-term trend of the time series prediction accuracy under complex environment, expand the application range of intuitionistic fuzzy time series prediction theory.