ID 原文 译文
51927 文章定义了ICXT改善指数来评价所提算法与对比算法的性能差异。 In order to evaluate the performance of this algorithm, the ICXT improvement index is defined to evaluate the performance difference between this algorithm and the comparison algorithm.
51928 仿真结果表明,文章所提算法相比于多篇对比文献,在阻塞率性能和ICXT影响上有着明显的提升。 Simulation results show that the algorithm in this paper has a significant improvement in blocking rate performance and inter core crosstalk compared with many comparative literatures.
51929 针对啁啾(chirp)信号的频偏估计方法存在分辨率受限和估计精度不高的问题,提出了一种基于匹配滤波插值的频偏估计(MFI-FOE)方法。 The frequency offset estimation method for chirp signal has the problem of limited resolution and low estimation accuracy. A Frequency Offset Estimation based on Matched Filter Interpolation(MFI-FOE) method is proposed.
51930 首先,将接收信号与相应的匹配信号进行匹配滤波; Firstly, the received signal is filtering matched with the corresponding matching signal.
51931 然后,对匹配滤波输出的波形进行峰值搜索; Then, the peak value of the waveform at the output of the matched filter is searched.
51932 最后,计算相对偏差,在峰值和紧邻峰值的左侧点或右侧点之间进行插值,从而得到精准的频偏估计值。 Finally, we calculate the relative deviation and interpolate between the peak and the left or right point of the immediately adjacent peak to obtain an accurate frequency offset estimation.
51933 仿真结果表明,与传统的频偏估计方法相比,MFI-FOE方法的信噪比门限降低了2~4 dB,在整个相对频偏估计范围内性能稳定, The simulation results show that the signal-noise ratio threshold of MFI-FOE method is reduced by 2~4 dB compared with the traditional frequency offset estimation method, and the performance is stable in the whole range of relative frequency offset estimation.
51934 频偏估计的归一化均方误差更接近于克拉美罗界限。 The Normalized Mean Square Error(NMSE) of the frequency offset estimation is closer to the Cramer-Rao Bound.
51935 所提的MFI-FOE方法在估计精度和抗噪声能力方面都有显著地提升,验证了该方法的有效性。 Therefore, MFI-FOE method can significantly improve the accuracy of estimation and anti-noise ability, which verifies the effectiveness of the method.
51936 随着国家电网公司电力物联网战略的提出,电力物联网越来越引起人们的关注。 The strategy of electricity internet of things is recently proposed by State Grid, which attracts much attention.