ID	原文	译文
53667	为了提高多小区毫米波系统中无人机基站覆盖区域内用户的通信质量，本文提出了一种无人机基站的飞行姿态优化方案。	In order to improve the communication quality of users in the coverage area of unmanned aerial vehicles ( UAV) base station in multi-cell millimeter wave system, a flight attitude optimization scheme of UAV base station is proposed in this paper.
53668	该方案首先在无人机基站天线数量趋于无穷大的情况下对吞吐量进行优化，得到最大吞吐量的渐近表达式，	In this scheme, the throughput is optimized when the number of UAV base station antennas tends to infinity, and the asymptotic expression of the maximum throughput is obtained,
53669	然后将吞吐量优化问题进一步细化为天线倾斜角优化问题，	and then the throughput optimization problem is further refined into the antenna tilt angle optimization problem.
53670	最后通过穷举搜索算法来获得使吞吐量最大的天线阵列倾斜角，进一步通过调整天线倾斜角以优化无人机飞行姿态。	Finally, the antenna array tilt angle to maximize the throughput is obtained by exhaustive search algorithm, and the UAV flight attitude is optimized by adjusting the antenna tilt angle.
53671	仿真研究了 UAV 基站天线数量、信噪比及地面用户数量对吞吐量的影响，并比较了不同优化方案可获取的系统吞吐量。	Through simulation, we study the effects of the number of UAV base station antennas, signal-to-noise ratio and the number of ground users on the throughput. We also compare the throughput of the system by different optimization schemes.
53672	仿真结果表明，所提出的优化方案能够有效提高系统性能，对于多小区无人机毫米波通信系统的性能优化具有理论指导意义。	Numerical simulation results show that the proposed optimization scheme can effectively improve the system performance and has theoretical significance for the performance optimization of multi-cell UAV millimeter wave communication system.
53673	基于稀疏恢复技术的空时自适应处理( Sparse Ｒecovery Space-Time Adaptive Processing，SＲ-STAP) 方法提升了动目标检测性能。	Space-time adaptive processing method based on sparse recovery ( SＲ-STAP) improves the performance of mov- ing target detection.
53674	然而，当出现离网效应时，SＲ-STAP 算法的杂波抑制性能下降。	However, when the off-grid effect occurs, the performance of SＲ-STAP algorithm was degraded.
53675	为了解决离网效应问题，本文提出了一种离网误差迭代自校正 STAP 算法。	Hence, an off-grid error iterative self-calibrated STAP algorithm was proposed to solve this problem.
53676	该算法首先从常规 STAP 字典中选取了功率谱值较高的网格点来构建全局字典。	Firstly, the grid points with high power spectrum value were selected from the general STAP dictionary to construct the global dictionary.