• 无线传感器网络数据分发中节点克隆攻击检测方案

    分类: 电子与通信技术 >> 信息处理技术 提交时间: 2022-06-07 合作期刊: 《桂林电子科技大学学报》

    摘要:

    无线传感器网络(WSNs)中,数据分发是一种重要的传输方式,需要满足以下要求:可靠性,节能和可扩展性。然而,现有的研究工作很少关注数据分发中所存在的攻击,导致数据分发的可靠性大打折扣。为了检测出WSNs数据分发中的节点克隆攻击,保证数据分发的高可靠性,提出了基于单轮零知识证明的节点克隆攻击检测方案。本方案通过构建析取-叠加码生成专属于各个节点的数字指纹,在单轮零知识证明方案中对节点的数字指纹进行验证,可以检测出没有正确数字指纹的克隆节点。仿真表明使用提出的检测方案,可以保证WSNs在数据分发过程中的高可靠性.

    In wireless sensor networks (WSNs), data dissemination is an essential transmission mode, which needs to meet three requirements: reliability, energy saving and scalability. Existing research pays little attention to the attacks in data dissemination, resulting in a significant loss of the reliability of data dissemination. In order to detect node clone attacks in WSNs data dissemination and ensure high reliability of data dissemination, a node clone attack detection scheme based on single round zero knowledge proof is proposed. In this scheme, the digital fingerprint of each node is generated by constructing superimposed disjunct code, and the cloned node without correct digital fingerprint can be detected by verifying the digital fingerprint of the node in the single round zero-knowledge proof scheme. Simulation results show that the proposed scheme can ensure the high reliability of WSNs in the data dissemination process.

  • Exact Decomposition of Multifrequency Discrete Real and Complex Signals

    分类: 电子与通信技术 >> 信息处理技术 分类: 工程与技术科学 >> 工程通用技术 分类: 机械工程 >> 机械工程其他学科 提交时间: 2022-02-08

    摘要:

    ‘The spectral leakage (SL) from windowing and the picket fence effect (PEF) from discretization’ have been among the standard contents in textbooks for many decades. The SL and PEF would cause the distortions in amplitude, frequency, and phase of signals, which have always been of concern, and attempts have been made to solve them. This paper proposes two novel decomposition theorems that can totally eliminate the SL and PEF, they could broaden the knowledge of signal processing. First, two generalized eigenvalue equations are constructed for multifrequency discrete real signals and complex signals. The two decomposition theorems are then proved. On these bases, exact decomposition methods for real and complex signals are proposed. For a noise-free multifrequency real signal with m sinusoidal components, the frequency, amplitude, and phase of each component can be exactly calculated by using just 4m–1 discrete values and its second-order derivatives. For a multifrequency complex signal, only 2m–1 discrete values and its first-order derivatives are needed. The numerical experiments show that the proposed methods have very high resolution, and the sampling rate does not necessarily obey the Nyquist sampling theorem. With noisy signals, the proposed methods have extraordinary accuracy.

  • 一种基于地球同步卫星光学遥感影像的运动船舶检测与跟踪方法

    分类: 电子与通信技术 >> 信息处理技术 提交时间: 2021-09-10

    摘要: 地球静止光学遥感卫星具有时间分辨率高、覆盖范围广等优点,可以大范围连续跟踪观察海上船舶目标。然而,地球同步卫星遥感影像中的船舶目标通常体积小、强度弱,易受云、岛等因素影响,给船舶目标的检测带来很大的困难。本文提出了一种从地球静止光学遥感图像中检测在海面上移动的船舶的新方法:首先,采用自适应非线性灰度拉伸(ANGS)方法对图像进行增强,以突出小而弱的船舶目标。其次,设计了一种多尺度双邻域差分对比度测量(MDDCM)方法来检测候选船舶目标的位置。然后,分析每个候选区域的形状特征以去除虚假的船舶目标。最后,联合概率数据关联(JPDA)方法用于多帧数据关联和跟踪。实验表明,该方法能够有效地检测和跟踪GF-4卫星光学遥感影像中的运动船舶目标,与其他经典方法相比,该方法具有更好的检测性能。

  • 基于图像深度学习的无线电信号识别

    分类: 电子与通信技术 >> 信息处理技术 提交时间: 2018-08-31

    摘要: 本文创新性地提出了一种利用图像深度学习解决无线电信号识别问题的技术思路:首先把无线电信号具象化为一张二维图片,将无线电信号识别问题转化为图像识别领域的目标检测问题;进而充分利用人工智能在图像识别领域的先进成果,提高无线电信号识别的智能化水平和复杂电磁环境下的识别能力。基于该思路,本文提出了一种基于图像深度学习的无线电信号识别算法——RadioImageDet算法。试验结果表明,该算法能有效识别无线电信号的波形类型和时/频坐标,在实地采集的12种、4740个样本的数据集中,识别准确度达到86.03%,mAP值达到77.72,检测时间在中等配置的桌面计算机上仅需33毫秒,充分验证了思路的可行性和算法的有效性。

  • 阵元失效下基于协方差矩阵重构的高分辨测向方法

    分类: 电子与通信技术 >> 信息处理技术 提交时间: 2017-04-19

    摘要:摘要:传统子空间类方法依赖于阵列相关矩阵,在阵列中阵元出现失效的情况下,相关矩阵将会秩亏,子空间类方法将会失效。针对该问题,本文从协方差拟合准则出发,将协方差矩阵的 Toeplitz 结构作为约束,基于低秩矩阵重构的原理来恢复协方差矩阵,而后采用子空间类方法来进行目标的方位估计。在阵元失效情况下,该方法能有效重构阵列协方差矩阵,恢复失效阵元的自由度,解决失效阵元情况下高精度目标方位估计的问题。数值仿真表明,该方法在阵元失效条件下,能够恢复损伤阵列到正常阵列条件下的性能,尤其是对于多个目标的情况,该方法表现出更优的性能。