ID 原文 译文
17845 针对这个问题，该文提出了一种基于Keystone变换和扰动重采样的机动SAR成像方法。 To solve this problem, a maneuvering SAR imaging method based on Key stone transform and azimuth perturbation resampling is proposed.
17846 首先，通过距离走动校正和去加速处理实现距离方位解耦以及方位频谱去混叠，然后采用方位时域的Keystone变换校正空变的距离徙动； First of all, the range azimuth decoupling and the azimuth spectrum de Aliasing are realized by the range walk correction and de-acceleration processing. Then the spatial-variant range cell migration is corrected by the Keystone transform in the azimuth time domain;
17847 在方位压缩过程中，通过引入时域的高阶扰动因子去除多普勒参数的2阶及3阶方位空变性，然后通过方位频域的重采样处理去除多普勒参数的方位1阶空变性。 In the process of azimuth compression, the second- and third-order spatial variabilities of Doppler parameters are removed by introducing the high-order perturbation factor in the time domain, and then the first-order spatialvariability of the Doppler parameters is removed by the azimuth resampling processing in the azimuthfrequency domain.
17848 所提方法能够有效校正距离徙动轨迹和方位聚焦参数的2维空变性，实现机动平台大斜SAR的大场景成像，仿真分析验证了所提方法的有效性。 The proposed method can effectively correct the two-dimensional spatial variability of rangecell migration trajectory and azimuth focus parameters, and realize the large scene imaging of high-squintmaneuvering SAR. Simulation analysis verifies the effectiveness of the proposed method.
17849 在多小区大规模多输入多输出(MIMO)系统中，导频污染已经成为制约整个系统的瓶颈，合理地使用导频资源能减轻导频污染的影响。 In multi-cell massive Multiple Input Multiple Output (MIMO) systems, pilot contamination hasbecome the bottleneck which restricts the performance of the whole system, so the reasonable usage of pilot resources can mitigate the pilot contamination of the system.
17850 为了寻找使边缘用户和容量最大的导频分配方式，该文首次提出了基于迟滞噪声混沌神经网络(HNCNN)的导频分配方案。 In order to find the pilot allocation method thatmaximizes the total transmission capacity of edge users, a pilot allocation scheme based on Hysteretic NoiseChaotic Neural Network (HNCNN) is proposed for the first time.
17851 迟滞噪声混沌神经网络作为良好的优化工具，其优化能力与所设计的能量函数相关。 HNCNN is a famous optimization tool, and its optimization ability is related to the designed energy function.
17852 该方案结合导频资源使用的特点以及最大化边缘用户和容量的计算方式，设计了新的能量函数。 This scheme combines the characteristics of pilot resource usage and the calculation method of maximizing the total transmission capacity of edge users to design a new energy function.
17853 仿真结果表明，网络能在一定迭代次数后收敛到较优的导频分配方式。 The simulation results show that the proposed network can converge to a betterpilot allocation mode after a certain number of iterations.
17854 与其它文献方案相比，采用以HNCNN为框架求取导频分配方式，可以更有效减轻导频污染的影响，使系统性能得到改善。 Compared with other literature pilot allocationsolution, the pilot allocation method based on HNCNN can further reduce the influence of pilot contaminationand improve the system performance.