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| 1 | 在残余频偏下微弱直扩信号伪码周期的谱检测显示文摘针对存在残余频偏调制下的微弱直扩(DS)信号的伪码(PN码)周期截获的难题,拓展了先前提出的基于信号功率谱二次处理的方法。该方法先对带残余频偏调制的微弱DS信号求取功率谱,然后将所得到的功率谱作为一输入信号求取其第二次功率谱,于是所得二次功率谱将在PN码周期整数倍处出现代表信号存在的尖锐脉冲。通过对这些尖脉冲间的距离进行检测,就可以获得DS信号PN码周期参数的检测估计。理论分析和计算机仿真表明,该方法基本不受输入信号残余频偏的影响,在很大频偏和较低的输入信噪比条件下都能良好地工作。 | 张天骐 代少升 杨柳飞 李雪松 | 2009 | 系统工程与电子技术2009，31，4： | 9 |
| 2 | 混沌直扩信号扩频序列盲估计显示文摘与传统直扩序列相比,混沌扩频序列具有非线性复杂度较高的优点,该优点同时也是盲估计混沌扩频序列的难点。针对这个难点,该文提出了非线性弹性反传神经网络盲估计方法,充分利用非线性神经网络能逼近任意非线性函数的特性,无须搜索信息码和扩频序列之间的同步点,能在较低的信噪比下准确盲估计混沌扩频序列。传统的神经网络使用中,神经网络的有用信息是网络的输出,而该文中则是输出层的权系数。侦察截获的混沌直扩信号同时用作神经网络的输入和期望输出,神经网络收敛后的输出层权系数就是混沌扩频序列的估计值。仿真结果证明了该方法的有效性。 | 胡进峰 郭静波 | 2008 | 电子与信息学报2008，30，8： | 8 |
| 3 | Approach to blind estimation of the PN sequence in DS-SS signals with residual carrier显示文摘This paper presents an approach of singular value decomposition plus digital phase lock loop to solve the difficult problem of blind pseudo-noise (PN) sequence estimation in low signal to noise ratios (SNR) direct sequence spread spectrum (DS-SS) signals with residual carrier. This approach needs some given parameters, such as the period and code rate of PN sequence. The received signal is firstly sampled and divided into non-overlapping signal vectors according to a temporal window, whose duration is two periods of PN sequence. An autocorrelation matrix is then computed and accumulated by those signal vectors one by one. The PN sequence with residual carrier can be estimated by the principal eigenvector of the autocorrelation matrix. Further more, a digital phase lock loop is used to process the estimated PN sequence, it estimates and tracks the residual carrier and removes the residual carrier in the end. Theory analysis and computer simulation results show that this approach can effectively realize the PN sequence blind estimation from the input DS-SS signals with residual carrier in lower SNR. | Tianqi Zhang Shaosheng Dai Guoning Ma Wei Zhang Pu Miao | 2010 | Journal of Systems Engineering and Electronics2010，21，1： | 8 |
| 4 | 一种过程神经元网络模型及其在动态预测中的应用显示文摘针对非线性动态系统过程预测问题,提出一种满足时变信号预测机制的过程神经元网络模型.该网络模型的输入/输出以及连接权均可以是时变函数,其空间、时间聚合运算能同时反映时变输入信号的空间聚合作用和输入过程中的阶段时间累积效应.通过对训练函数样本集的学习,网络可自动辨识动态系统的信息变换特性和输入输出关系,在机制上对时变信号预测问题具有良好的适应性.给出基于函数基展开结合LMS的学习算法,仿真实验结果验证了模型和算法的有效性. | 刘显德 刘立伟 许少华 周继 | 2008 | 大庆石油学院学报2008，32，4： | 3 |
| 5 | Confidentiality-aware message scheduling for security-critical wireless networks显示文摘Without considering security, existing message scheduling mechanisms may expose critical messages to malicious threats like confidentiality attacks. Incorporating confidentiality improvement into message scheduling, this paper investigates the problem of scheduling aperiodc messages with time-critical and security-critical requirements. A risk-based security profit model is built to quantify the security quality of messages; and a dynamic programming based approximation algorithm is proposed to schedule aperiodic messages with guaranteed security performance. Experimental results illustrate the efficiency and effectiveness of the proposed algorithm. | Wei Jiang Guangze Xiong Xuyang Ding Zhengwei Chang Nan Sang | 2010 | Journal of Systems Engineering and Electronics2010，21，1： | 1 |
| 6 | 改进Walsh码软扩频盲解扩算法显示文摘采用传统密度峰聚类算法实现Walsh码软扩频信号盲解扩时,算法的截断距离根据经验选取,性能不稳定。针对这一问题,提出改进密度峰聚类软扩频信号的盲解扩算法。该算法采用赋权欧氏距离作为数据的相似性度量并根据数据总体分布情况自适应确定截断距离,具有效率高、性能稳定等特点。Matlab环境下仿真结果表明,文中所述的改进算法能够自动确定截断距离,在信噪比为0~10dB范围内准确估计伪码序列规模数和伪码序列,并在该条件下实现Walsh码软扩频信号盲解扩。 | 张丹娜 杨晓静 冯辉 钱锋 | 2019 | 系统工程与电子技术2019，41，10： | 1 |
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