ID 原文 译文
20015 为了克服物理不可克隆函数(PUF)面对建模攻击的脆弱性，该文提出一种基于敏感度混淆机制的控制型PUF架构。 In order to overcome the vulnerability of Physical Unclonable Function (PUF) to modeling attacks, acontrolled PUF architecture based on sensitivity confusion mechanism is proposed.
20016 根据PUF的布尔函数定义及Walsh谱理论，推导出各个激励位具有不同敏感度，分析并归纳了与混淆值位宽奇偶性有关的位置选取规则。 According to the Boolean function definition of PUF and Walsh spectrum theory, it is derived that each excitation bit has different sensitivity, and the position selection rules related to the parity of the confound value bit width are analyzed and summarized.
20017 利用该规则指导了多位宽混淆算法(MWCA)的设计，构建了具有高安全性的控制型PUF架构。 This rule guides the design of the Multi-bit Wide Confusion Algorithm (MWCA) and constructs a controlled PUF architecture with high security.
20018 将基础PUF结构作为控制型PUF的防护对象进行实验评估，发现基于敏感度混淆机制的控制型PUF所产生的响应具有较好的随机性。 The basic PUF structure is evaluated as a protective object of the controlled PUF. It is found that the response generated by the controlled PUF based on the sensitivity confusion mechanism has better randomness.
20019 采用逻辑回归算法对不同PUF结构进行建模攻击，实验结果表明，相比基本ROPUF、仲裁器PUF以及基于随机混淆机制的OB-PUF，基于敏感度混淆机制的控制型PUF能够显著提高PUF的抗建模攻击能力。 Logistic regression algorithm is used to model different PUF attack. The experimental results show that compared with the basic ROPUF, the arbiter PUF and the OB-PUF based on the random confusion mechanism, the controlled PUF based on the sensitivity confusion mechanism can significantly improve the PUF resistance capabilities for modeling attack.
20020 该文提出一种基于实值处理的联合波束域双基地多输入多输出(MIMO)雷达测角方法。 A joint real-valued beamspace-based method for angle estimation in bistatic Multiple-Input Multiple-Output (MIMO) radar is proposed.
20021 与直接采用离散傅里叶变换(DFT)空域滤波器的传统波束域方法不同，该方法的空域滤波器通过凸优化方法进行设计，能够灵活控制空域滤波器的带宽并抑制旁瓣电平。 Instead of using the traditional Discrete Fourier Transform (DFT) beamspace filter, the proposed beamspace filter is designed through convex optimization, which can flexibly control the bandwidth and limit the sidelobe level.
20022 基于这种特性，设计的空域滤波器的主旁瓣比能够得到很大提高，从而提高测角性能。 Based on this property, the mainlobe-to-sidelobe ratio of theproposed beamspace filter can be greatly improved, which results in the improved estimation performance.
20023 更重要的是，所提算法对发射和接收波束矩阵的结构进行设计，这种特殊的结构是构造实值信号模型的必要条件。 More importantly, the structure of the proposed beamspace matrix can be properly designed, which is indispensable in constructing the real-valued signal model.
20024 最后，该文通过建立映射关系的方法对插值误差进行补偿。 Finally, the mapping relationship to compensate theinterpolation error is established.