ID 原文 译文
46466 针对干扰对齐的实际应用提出的机会干扰对齐算法（OIA）存在通信资源分配不公平、所需用户基数大等问题。 Opportunistic interference alignment (OIA) algorithm was proposed for the practical implementation of inter-ference alignment (IA).
46467 为此，提出一种基于轮询机制的公平高效机会干扰对齐算法。 A fair and efficient OIA algorithm was presented for the unfairness in resource allocation and high dependence of tremendous users in the existing OIA algorithms.
46468 首先确定协作处理簇，并基于轮询机制在主小区中选择信道质量最优的通信用户， Firstly, the users with the best channel was selected in the primary cell based on round-robin scheduling after the coordinate cluster was determined.
46469 然后通过设计次基站的有用信号空间完全消除主小区用户对次基站的干扰， Then, the interference from the primary users was eliminated by skillfully designing the useful signal spaces in the subordinate cells.
46470 进一步在次小区中以干扰泄露最小化为原则选择通信用户， Further-more, the users with the minimum interference leakage was selected in the subordinate cells.
46471 最后从理论上分析证明了公平性和最小传输块数等性能。 Finally, the fairness performance was theoretically analyzed.
46472 仿真结果表明，与原始机会干扰对齐算法相比，所提算法在提升公平性的同时，有效降低干扰泄露和提升系统容量， Simulation results show that both the sum-rate and fairness of the proposed algorithm are significantly higher than that of the conventional algorithm with less interference leakage.
46473 并且可减少传输块数和实现用户通信接入快速响应。 Besides, the users can achieve a quick access.
46474 针对现有方法计算量大、信噪比要求高的问题，提出了一种期望极大化（EM）算法的目标微动参数估计新方法。 Aiming at the problem that the existing method has high computational complexity and high SNR, a novel method of multi-component SFM signals parameter estimation based on EM algorithm was proposed as to spinning tar-get's narrow band micro-motion echoes.
46475 给出了自旋目标微动多普勒的多分量正弦调频信号模型和时频平面的观测模型， The echo model of spinning target and its micro-doppler measurements based onetime-frequency analysis were given.