ID 原文 译文
14685 设计了一种基于双滑动窗的自适应双门限Link16信号检测识别算法,具有检测识别准确率高、实时性好、易于工程实现的特点。 In this paper，a detection and recognition algorithm of Link16 signal is designed based on the double sliding window and adaptive dual threshold．The algorithm has the characteristics of high correct rate of detection and recognition，real－time and easy to be implemented．
14686 仿真结果表明,当信噪比在7 dB以上时,脉冲检测识别正确率均在95%以上。 Simulation results show that the correct rate of pulse detection and recognition is over 95% when the signal－to－noise ratio( SNR) is above 7 dB．
14687 5G系统使用解调参考信号(Demodulation Reference Signal,DMRS)用于下行信道估计,工程中通常采用插值法得到数据位置信道响应。 5G systems use a demodulation reference signal( DMRS) for downlink channel estimation．In engineering，interpolation is usually used to obtain the data position channel response．
14688 考虑实际信道中噪声的影响,频域采用线性最小均方误差(Linear Minimum Mean Squared Error,LMMSE)插值算法。 Considering the effect ofnoise in the actual channel，the frequency domain uses linear minimum mean square error linear minimummean squared error( LMMSE) interpolation algorithm．
14689 针对LMMSE需要获取信道先验统计特性以及存在矩阵求逆运算量大问题,利用信号时域内能量集中特点估计出信道均方根时延、信噪比和信道自相关矩阵,对于DMRS信号在频域上间隔较大、DMRS信号所在子载波相关性不强的问题。 For the problem that LMMSE needs to obtain thechannel prior statistical characteristics and the matrix inversion calculations is large，the energy concentration characteristics in the time domain of the signal is used to estimate the root mean square delay，signal－to－noise ratio and channel．The autocorrelation matrix is used to solve the problem that the DMRS signalsare widely spaced in the frequency domain，and the subcarriers where the DMRS signal is located are nothighly correlated．
14690 通过引入导频加密方法提升DMRS信号所在子载波间的相关性以提升信道估计性能,并通过滑动窗口插值方法进一步降低LMMSE算法求逆运算复杂度。 The pilot encryption method is used to improve the correlation between the subcarrierswhere the DMRS signal is located． The sliding window interpolation method is used to further reduce thecomplexity of the LMMSE algorithm inversion operation．
14691 仿真结果表明,所提算法均方误差和误码率总体均优于线性插值和基于矩阵奇异值分解的LMMSE算法。 Simulation results show that the mean squared errorand bit error rate of the proposed algorithm are generally better than that of linear interpolation and LMMSEalgorithm based on singular value decomposition．
14692 并与传统LMMSE算法相比性能极为接近,而且复杂度降低了99.85%,适合实际工程应用。 Compared with that of the traditional LMMSE algorithm，the performance of the proposed algorithm is very close，and the complexity is reduced by 99．85% ，which issuitable for practical engineering applications．
14693 由于大规模多输入多输出(Multiple-Input Multiple-Output,MIMO)信道衰落参数的维度较高,导致最优估计算法计算量大且需要的导频数较多而影响到频谱效率。 Due to the high dimension of the fading parameters for massive multiple－input multiple－output( MIMO) channel，the computation burden of optimal estimation algorithms is heavy along with the largenumber of pilots which affects spectral efficiency．
14694 为降低计算复杂度并减少导频开销,提出了两种基于期望最大化(Expectation Maximization,EM)估计的半盲迭代改进算法。 To reduce the computational complexity and pilot overhead，two improved semi－blind iterative algorithms based on expectation maximization( EM) estimation are proposed．