ID 原文 译文
9574 且LEAP NN与Sanger NN均可有效地实现-20dB信噪比、10个用户下的同步非等功率DS-CDMA伪码盲估计,APEX NN则相对较差,此外,LEAP NN消耗内存较大、收敛速度快,APEX NN相反,Sanger NN则介于两者之间。 And LEAP NN with Sanger NN can effectively realize - 20 db SNR, 10 users under the synchronization of DS - CDMA pseudo-code blind estimation such as power, APEX NN is relatively poor, moreover, the LEAP NN consume more memory, fast convergence, APEX NN instead, Sanger NN is somewhere in between.
9575 旋转式合成孔径雷达(rotor synthetic aperture radar,ROSAR)是一种新型的雷达成像模式,其圆形运动轨迹斜距历程造成传统二阶斜距近似法在宽方位波束场景下方位向散焦严重。 Rotary synthetic aperture radar (rotor synthetic aperture radar, ROSAR) is a new type of radar imaging model, the circular trajectory oblique distance process caused by the traditional second-order slant distance approximation method in wide azimuth beam scenarios orientation to the defocusing is serious.
9576 针对这一问题,提出了一种基于卡尔丹方程解析表达式的ROSAR成像算法。 In order to solve this problem, this paper proposes a ROSAR imaging algorithm based on Carl Dan equation analytic expression.
9577 考虑通过对回波信号的斜距表达式进行四阶近似,推导了回波信号的二维频谱,分析距离徙动对成像结果的影响,提出基于卡尔丹方程解析表达式实现距离徙动补偿,进而实现整个场景精确聚焦的成像算法并给出了算法的运算量。 Consider slant distance expression of echo signal for fourth order approximation, the echo signal of two-dimensional spectrum is deduced, analysis of range migration imaging results, the influence of the proposed analytical expression based on Carl Dan equation, migration distance compensation to realize precise focus of the whole scene imaging algorithm and gives the computational complexity of the algorithm.
9578 仿真实验验证了算法的有效性及在噪声环境下的稳健性。 Simulation experiments verify the effectiveness of the algorithm and robust in noise environment.
9579 人工噪声是一种保障无线通信系统物理层安全的有效策略。 Artificial noise is a kind of effective strategies to protect the safety of wireless communication system physical layer.
9580 现有针对基于人工噪声保密系统的窃密算法仅适用于单用户多输入单输出系统,该文针对这一问题,提出了两种适用于多用户多输入多输出(multi-input multi-output,MIMO)系统的窃密算法。 ‭Existing for espionage algorithm based on artificial noise secrecy system applies only to a single user, multiple input and single output system in this paper, in order to solve this problem, put forward two kinds of suitable for multi-user multiple input multiple output (multi - input multi - output, MIMO) system involving algorithm.
9581 首先通过基于人工噪声的多用户MIMO系统模型与盲源分离线性混合模型的比对,提出了基于盲源分离理论的窃密思路。 ‭First through the multi-user MIMO system model based on artificial noise and blind source separation of linear mixed model, is proposed based on blind source separation theory's train of thought.
9582 其次通过改进两种盲源分离算法中的分离矩阵以及选择的非线性函数结构,消除了原始算法估计秘密源信号出现的相位模糊性。 Secondly by improving the separation matrix of two kinds of blind source separation algorithm and choose nonlinear function structure, eliminated the original algorithm to estimate the secret source of signal phase ambiguity.
9583 同时对每一步迭代中的分离矩阵进行归一化,避免了幅度的不确定性。 For the separation of every step of the iterative matrix normalized, avoids the range of uncertainty.