ID |
原文 |
译文 |
47986 |
算例分析表明,所建立的模型符合实际、易于实现,可以为飞机生存力的权衡设计提供参考。 |
Example analysis shows that the established model conforms to practical and easy to implement, can provide reference for aircraft survivability balance design. |
47987 |
针对多小区多用户下行链路同频干扰问题, |
More residential users against downside link with frequency interference problem, |
47988 |
提出一种结合三角分解和信漏噪比(signal leakage noise ratio,SLNR)的干扰抑制算法, |
put forward a kind of combined triangle decomposition and letter leakage ratio (signal leakage noise thewire, SLNR) interference suppression algorithm, |
47989 |
算法通过对联合信道的三角分解先将小区间干扰减少一半, |
the algorithm of joint channel triangle decomposition to halve the interference between zones, |
47990 |
然后利用SLNR算法和干扰抑制矩阵进一步消除小区间干扰。 |
first SLNR algorithm and interference suppression matrix is then used to further eliminate the interference between zones. |
47991 |
理论分析表明算法使得接收端不再需要增加用于抑制小区间干扰的矩阵及相应矩阵运算,从而降低了算法复杂度。 |
No longer need to increase the theory analysis shows that the algorithm makes the receiving end is used to suppress interference of matrix between zones and the corresponding matrix operation, which reduces the algorithm complexity. |
47992 |
计算机仿真表明较传统SLNR算法,该算法在系统容量和能量效率等性能方面得到改善。 |
The computer simulation shows that compared with traditional SLNR algorithm, the algorithm in the system capacity and improve performance in energy efficiency, etc. |
47993 |
为评价碎片云对星内电子仪器设备的毁伤特性,提出了靶板分布的概念,并给出了相应的定义。 |
To evaluate the debris cloud damage characteristics of star electronic instrument equipment, put forward the concept of distribution, and gives the corresponding definition. |
47994 |
作为靶板分布的一个应用,针对Swift碎片云模型导出了粒子在靶板上的位置,求出了靶板上粒子的分布函数、密度函数以及密度函数的极值点。 |
As an application, the distribution of the target plate for Swift debris cloud model is derived by the location of the particle on the target board, the distribution function of particles on the target plate, the density function and density function extreme value point. |
47995 |
通过与大量实验得到的碎片云粒子在靶板上分布的比较,证明了Swift碎片云模型的分布与实验结果不符,不能正确反映碎片云的碰撞特性。 |
Get by with a large number of experiments in the debris cloud particles distribution on the target board, proved that the Swift distribution does not accord with the experimental results of debris cloud model, can not correctly reflect the collision characteristics of debris cloud. |