ID 原文 译文
44966 同时，引入延陷漂流因子和基于待选城市构建的凸包来干预当前蚂蚁的城市选择，增加算法前期解的多样性并提高蚂蚁的偏优规划能力； Meanwhile, the delayed drift factor and the convex hull constructed by the cities to be chosen we reintroduced to intervene the current ants’urban choice, it could increase the diversity of the early solution of the algorithm and improve the ability of ants’ partially optimal programming.
44967 再利用局部与整体相结合的完整路径信息、凸包的构建信息来协调信息素的更新，引导后继蚂蚁路径偏优规划，提高算法的求解精度； Then the pheromone updating was coordinated by using construction information of convex hull and the complete path information that combined local with whole, it could improve the accuracy of the algorithm by guiding the subsequent ants to partially optimal programming.
44968 设计具有收敛性的信息素最大最小值限制策略，既加快算法的求解速度又避免算法过早停滞； The pheromone maximum and minimum limit strategy with convergence was designed to avoid the algorithm’s premature stagnation and accelerate the solving speed of the algorithm.
44969 最后在 4 种经典 TSP 模型上应用改进后的算法。 Finally, the proposed algorithm was applied to four classic TSP models.
44970 仿真结果表明，所提算法在求解精度和收敛速度等方面均有显著提高，且具有较好的适用性。 Simulation results show that the algorithm has better optimal solution, higher convergence rate and better applicability.
44971 ：针对插补法效果不佳的多天线长码直扩 CDMA 信号扩频码盲估计问题， Aiming at the problem of the poor performance of the imputation method for the spreading codes blind estimation of the multi-antenna long-code direct sequence code division multiple access (CDMA) signals.
44972 采用分段思想，将接收信号构建成的三阶张量按照扩频增益分块成等价于 Tucker 分解模型的子张量。 Firstly, using the segmentation idea, the received signals were constructed into a three-dimensional tensor model, and the tensor was divided into sub-tensors according to the spreading gain. The sub-tensors were constructed into the Tucker decomposition model.
44973 然后对子张量利用变步长梯度下降算法进行 Tucker 分解得到扩频码片段和接收增益矩阵。 Secondly, the spreading code fragments and the receiver gain matrixes were obtained from the sub-tensors by Tucker decomposition which was using the variable step gradient descending algorithm.
44974 根据子张量的接收增益矩阵相同的特点，利用各个子张量接收增益矩阵的互相关矩阵估计置换矩阵，去除扩频码片段排序模糊。 Then, because of the same characteristic of the receiver gain matrixes in each sub-tensor, the permutation matrixes were estimated by using the cross correlation matrixes of the receiver gain matrixes and the order of the spreading code fragments was corrected.
44975 最后利用扩频码的自相关性，去除扩频码片段的幅度模糊，得到每个用户扩频码。 Finally, the amplitude of the spreading codes was determined by using the auto correlation of the spreading codes, and each user’s spreading code was obtained.