ID 原文 译文
18445 最后对方案的正确性、安全性和有效性进行理论分析和实验验证，结果表明，该文方案的计算复杂度与被撤销组成员签名的文件块数之间相互独立，达到了高效撤销组成员的目的。 Finally, theoreticalanalysis and experimental verification of the correctness, safety and effectiveness of the scheme show that thescheme meets the requirement of efficient cancellation of group members.
18446 并且，随数据拥有者数量增加，该方案更新数据效率较NPP明显提升。 At the same time, as the number ofdata owners increases, the efficiency of updating data in this scheme is significantly higher than that of NPP.
18447 针对风云三号卫星微波湿温度计，该文建立了全功率式微波辐射计系统的仿真模型，重点对热辐射噪声源、混频器、低噪放、滤波器与检波器等关键性器件进行了参数化建模。 A simulation model of total power microwave radiometer is developed for the microwave humidityand temperature sounder onboard the FY-3 satellite. The key components such as mixer, low noise amplifier, local oscillator, filter and detector are parametrically modeled.
18448 从信号处理的角度对全功率式微波辐射计的工作过程进行了模拟，并对仿真系统的输出功率、灵敏度和线性度进行评估与分析。 The model is studied from the aspect of signal processing, and dynamic range, sensitivity and linearity of the simulation system are evaluated and analyzed.
18449 通过与实际仪器的测试结果对比，验证了所提仿真模型的正确性。 The correctness of the simulation model is verified by comparing them with the test results of the actualsystem.
18450 对运动目标进行SAR成像时，参数估计是必不可少的。 Parameter estimation is essential for SAR imaging of moving targets.
18451 现有算法主要针对运动目标的径向速度和方位向速度进行估计，而对3维运动目标的法向速度无法估计。 The existing algorithms mainlyestimate the radial velocity and azimuth velocity of the moving target, but the normal velocity of the three-dimensional moving target can not be estimated.
18452 该文利用L型基线的机载多通道SAR系统，提出一种方位向速度和法向速度的联合估计算法。 In this paper, a joint estimation algorithm of azimuth velocityand normal velocity is proposed by using an airborne multi-channel SAR system with L-shaped baseline.
18453 该算法在距离-多普勒域提取运动目标信号，并利用多幅SAR图像之间的相位差进行方位向速度和法向速度的联合估计。 The algorithm extracts the moving target signal in Range-Doppler domain, and estimates the azimuth and normal velocity jointly using the phase differences between multiple SAR images.
18454 该算法不依赖图像配准，不需要解多普勒模糊，因此具有较高的估计精度和鲁棒性，有较强的实际意义和应用价值。 The algorithm does not rely on imageregistration, does not need to solve Doppler ambiguity. Therefore, the algorithm has high estimation accuracyand robustness, and has strong practical significance and application value.