ID 原文 译文
19195 在此基础上通过方位多普勒重采样校正相位系数的空变性，并且结合SPECAN技术实现方位向聚焦。 Then azimuth Doppler resampling is used to correct the SV phase coefficients. The focused image is achieved by SPECAN technique.
19196 最后，通过仿真数据验证了该文算法的有效性，与参考算法相比该文方法聚焦质量有明显提升。 Finally, the proposed algorithm is validated by processing of simulated SAR data, and has significant improvement on focusing quality over the reference one.
19197 针对小区内D2D多复用的通信资源块分配问题，该文以一个D2D用户分别复用2个和3个蜂窝为基础，提出基于非均衡求解的D2D多复用模式下的资源块分配方案。 In order to solve the problem of the Device to Device (D2D) multi-multiplex communication resource blocks allocation in a cell, the resource blocks allocation scheme about D2D multi-multiplex mode based on non-equilibrium solution is proposed after analyzing a D2D user to multiplex two and three cells respectively.
19198 利用博弈论将资源块划分问题转化为求解被复用蜂窝用户收益联合最大问题。 The problem of resource blocks partitioning is transformed into the problem of solving the joint revenuemaximum value of the multiplexed cellular user by using game theory.
19199 当纳什均衡解不存在时，分析目标函数特性，在可行域内求解“最优解”，保证对不均衡解处理的最优性； When the Nash equilibrium solution does not exist, the objective function is analyzed, the "optimal solution" is solved in the feasible domain and the optimality of unbalanced solution processing is guaranteed.
19200 对于均衡解存在的情况，将其取整后作为资源分配方案依据，保持其最优性。 When the equilibrium solution exists, it is rounded up and used as the basis of the resource allocation scheme to maintain its optimality.
19201 通过理论分析及仿真实验表明该算法可以提升系统吞吐率，提高小区通信性能。 The theoretical analysis and simulation results show that the proposed algorithm enhances significantly the system performance and sum rate.
19202 针对目前相控阵雷达网目标分配模型中约束条件构建不合理以及求解算法性能不高的问题，该文构建了基于服务质量(QoS)的雷达网目标分配模型，并提出基于强凹曲线逼近的模型求解算法。 The constraint conditions of target assignment model for phased array radar network areunreasonable and the performance of model solving algorithms are not good enough. To solve these problems, a target assignment model for radar network based on Quality of Service (QoS) is constructed in this paper, and a model solving algorithm based on strong concave function approximation is proposed.
19203 通过QoS模型中资源空间、环境空间的建立准确描述雷达的资源限制以及雷达与目标的可见性约束； Through the establishment of resource space and environment space in QoS model, radar resource constraints as well as the visibility constraints between radars and targets are described accurately.
19204 通过库恩-塔克(KKT)条件推导出QoS模型最优解存在的充分条件，利用2维快速遍历方法逼近得到强凹函数曲线，最后对每个目标强凹曲线中的操作设定点进行逐步迭代得出优化分配方案。 Then, sufficient conditions for the optimal solution of QoS model are derived by Karush-Kuhn-Tucker(KKT) condition, and a two-dimensional fast traversal method is used to approximate the strong concave function curve. Finally, the optimal assignment scheme is obtained by the stepwise iteration of operation setting points on the strong concave curve of each target.