ID 原文 译文
1833 该 PUF 包括基于电流饥饿型延迟单元的工艺敏感电路、时间偏差放大器、时间偏差比较器、表决机制与扩散算法五个部分。 The proposed PUF is composed of CSDE-based sensors, time difference amplifier, time difference comparator, voting mechanism and diffusion algorithm circuit.
1834 通过捕获制造工艺的偏差，每一个工艺敏感电路可以稳定产生两路具有微弱延时差的延迟信号，然后比较生成指纹 ID; By capturing manufacturing process variations, each sensor produces two slightly different delay-time values that can be compared in order to create a digital identification (ID)for the chip.
1835 设计一种新型的扩散算法改善 PUF 的唯一性，引入时间偏差放大器与表决机制增强 PUF 相对于温度与电源电压变化的稳定性。 A new diffusion algorithm is designed to further improve the uniqueness of PUFs. Time difference amplifier andvoting mechanism are introduced to simultaneously improve the reliability of PUFs across temperature and supply voltage variations.
1836 文中 PUF 在 0.18μm CMOS 工艺下实现。 The proposed PUF is designed in 0. 18μm CMOS technology.
1837 仿真结果表明，该 PUF 的输出具有均匀统计分布特征，同时在温度从－ 40℃ 至 100℃ ，电源电压从 1.7V 至 1.9V 变化条件下，其输出 ID 具有 97.5% 的稳定性。 Simulated results show that the proposed PUF has agood output statistical characteristic of uniform distribution, and a high stability of 97. 5% with respect to temperature varia-tion from － 40℃ to 100℃ , and supply voltage variation from 1. 7V to 1. 9V.
1838 亚奈奎斯特采样雷达是利用回波信号的稀疏性，基于模信转换系统发展起来的欠采样雷达系统。 Sub-Nyquist radar is an analog-to-information based radar system with the assumption of sparse echo sig-nals.
1839 本文研究亚奈奎斯特采样雷达的运动目标回波信号的快速重构问题。 We study the reconstruction of moving target echoes obtained from the sub-Nyquist radar.
1840 与单脉冲回波重构不同，运动目标在脉冲积累时间内可能产生跨距离单元现象，使得回波信号表示系数呈现稀疏时变性。 Different from the recon-struction of echo signals from a single pulse, the moving targets may be across range cells in a coherent processing intervaland thus the echo signals have the property of the time-varying sparsity.
1841 本文采用概率分布模型描述稀疏位置的变化，首先将多脉冲回波信号重构转化为加权稀疏重构问题; However, it has been found that the sparse positionsobey a probabilistic distribution and then a random model is adopted to describe the sparsity. The reconstruction of the multi-ple echoes is transformed into a weighted sparse reconstruction problem.
1842 然后根据分段滑动重构思想，提出一种基于正交投影的加权稀疏分段滑动重构方法来实现快速重构。 An orthogonal-projection-based weighted sparse segment-sliding reconstruction (OP-WSegSR)scheme is proposed in this paper.