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讨论一种基于RAT的LFM信号快速检测算法。根据信号模糊函数的能量分布特性,首先采用二分法快速逼近信号能量中心分布区域,然后进行小范围高精度搜索,以精确估计其调频斜率。仿真结果表明,该算法在保持有效检测性能的条件下可大大降低运算量,显著提高对LFM信号的实时检测处理速度。 相似文献
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天基合成孔径雷达协同探测模型的研究 总被引:1,自引:0,他引:1
提出了一种天基合成孔径雷达(Synthetic Aperture Radar,SAR)协同探测方法,利用星座中的多个SAR系统多视角、同时观测同一目标区,对获取的信息进行并行分布式检测,从而提升天基SAR系统的探测能力.研究了模糊信号的统计特性,考虑了杂波、系统噪声、后向散射状况等因素的影响,建立了独立天基SAR系统探测模型,得出了探测性能随对地观测角度变化的结论;基于分布式检测原理建立了天基SAR协同探测模型,确定了轨道参数、平台参数、SAR系统参数与探测性能之间的关系,为协同探测系统设计与实现奠定了基础.K/N准则下的对比分析结果表明,协同探测性能优于独立天基SAR系统探测性能. 相似文献
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The global view of firewall policy conflict is important for administrators to optimize the policy.It has been lack of appropriate firewall policy global conflict analysis,existing methods focus on local conflict detection.We research the global conflict detection algorithm in this paper.We presented a semantic model that captures more complete classifications of the policy using knowledge concept in rough set.Based on this model,we presented the global conflict formal model,and represent it with OBDD(Ordered Binary Decision Diagram).Then we developed GFPCDA(Global Firewall Policy Conflict Detection Algorithm) algorithm to detect global conflict.In experiment,we evaluated the usability of our semantic model by eliminating the false positives and false negatives caused by incomplete policy semantic model,of a classical algorithm.We compared this algorithm with GFPCDA algorithm.The results show that GFPCDA detects conflicts more precisely and independently,and has better performance. 相似文献
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基于稀疏表示和道路辅助的单幅SAR图像运动目标检测方法 总被引:1,自引:0,他引:1
本文提出一种利用单幅SAR(Synthetic Aperture Radar)图像实现运动目标检测的方法.首先提出一种基于压缩感知的SAR图像道路检测算法:根据SAR图像中道路的特点,使用模糊C均值方法将图像进行模糊分类,获得大致的道路区域,然后利用Hough变换域的稀疏性,用压缩感知精确定位图像中的道路信息.其次利用图像稀疏表示的方法对运动目标进行检测:不同速度运动目标的散焦量和距离单元跨越不同,由此生成样本图像,继而构造超完备字典.将待测图像分块,并计算子图像在字典下的稀疏系数,检测并匹配出运动目标的速度参数.最后,结合已检测出的道路辅助信息,消除多普勒模糊影响,剔除虚假的运动目标,并对运动目标速度参数进行校正.实验结果证明了所提方法的有效性. 相似文献
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本文研究了ZC序列的自相关特性、循环相关性、傅里叶不变性、低峰均比特性,通过研究ZC序列的傅里叶不变性揭示了ZC序列与其调制的OFDM信号之间的关系。文章提出了匹配特性检测算法和多普勒容限特性检测算法,用于直观地研究信号波形的匹配特性和多普勒容限特性。仿真结果表明,ZC序列码调制的OFDM信号波形具有和线性调频信号波形相同的“斜刀刃型”模糊函数,其与线性调频信号波形在匹配特性和多普勒容限特性方面也呈现相同的特性,是一种性能良好的雷达探测信号波形。 相似文献
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为了提高车间监控系统智能化程度和工作场景中行人检测精度,提出了一种基于计算机视觉技术的行人检测方法。采用基于高级语义信息的无锚框特征检测技术,将检测任务简化为中心点和尺度的回归预测。特征提取模块通过四阶段降采样卷积网络,得到多尺度的图像特征并融合。头探测模块分成两路卷积,并行处理特征图,获得中心点热力图和尺度信息,输出检测结果。结果表明,在CityPersons数据集R子集上,MR-2达到11.61%,加入偏移量预测分支后MR-2提升了0.6%。这证明了该人员检测方法的性能优良。 相似文献
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In this letter, a new online anomaly detection approach for software systems is proposed. The novelty of the proposed approach is to apply a new semantic kernel function for a support vector machine (SVM) classifier to detect fault‐suspicious execution paths at runtime in a reasonable amount of time. The kernel uses a new sequence matching algorithm to measure similarities among program execution paths in a customized feature space whose dimensions represent the largest common subpaths among the execution paths. To increase the precision of the SVM classifier, each common subpath is given weights according to its ability to discern executions as correct or anomalous. Experiment results show that compared with the known kernels, the proposed SVM kernel will improve the time overhead of online anomaly detection by up to 170%, while improving the precision of anomaly alerts by up to 140%. 相似文献
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Tag refinement in an image folksonomy using visual similarity and tag co-occurrence statistics 总被引:1,自引:0,他引:1
Noisy tag assignments lower the effectiveness of multimedia applications that rely on the availability of user-supplied tags for retrieving user-contributed images for further processing. This paper discusses a novel tag refinement technique that aims at differentiating noisy tag assignments from correct tag assignments. The correctness of tag assignments is determined through the combined use of visual similarity and tag co-occurrence statistics. To verify the effectiveness of our tag refinement technique, experiments were performed with user-contributed images retrieved from Flickr. For the image set used, the proposed tag refinement technique reduces the number of noisy tag assignments with 36% (benefit), while removing 10% of the correct tag assignments (cost). In addition, our tag refinement technique increases the effectiveness of tag recommendation for non-annotated images with 45% when using the P@5 metric and with 41% when using the NDCG metric. 相似文献
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脉冲多普勒雷达在中重频下存在距离模糊、速度模糊问题,传统算法先解距离模糊再解速度模糊。在复杂电磁环境(存在杂波、干扰)下,上述算法存在如何选择距离门配对解模糊的难题。本文针对这种情况提出一种新算法,在距离维和速度维联合解模糊,并通过仿真验证了算法的有效性。 相似文献
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基于宽频带多基线阵列解模糊的波达角估计算法 总被引:1,自引:0,他引:1
针对宽频带电子信号侦测系统测向精度与解相位模糊能力这一矛盾问题,根据多基线测向原理,提出一种基于宽频带多基线阵列解模糊的波达角估计算法,并进行了仿真分析。结果表明,该方法可有效求解宽频带多基线阵列相位模糊,提高对目标在相位差测量精度不高情况下的测向精度。 相似文献
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《电子学报:英文版》2019,28(3):489-496
The prevalence of deep learning has inspired innovations in numerous research fields including community detection, a cornerstone in the advancement of complex networks. We propose a novel community detection algorithm called the Deep auto-encoded clustering algorithm (DAC), in which unsupervised and sparse single autoencoders are trained and piled up one after another to embed key community information in a lowerdimensional representation, such that it can be handled easier by clustering strategies. Extensive comparison tests undertaken on synthetic and real world networks reveal two advantages of the proposed algorithm: on the one hand, DAC shows higher precision than thek-means community detection method benefiting from the integration of sparsity constraints. On the other hand, DAC runs much faster than the spectral community detection algorithm based on the circumvention of the time-consuming eigenvalue decomposition procedure. 相似文献
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当基线长度大于半波长时,相位干涉仪测角系统存在相位差测量模糊的问题。针对此问题,首先推导出双基线相位干涉仪测角系统相位差模糊图的表达式,说明了相位差解模糊余量与正确解模糊概率的关系,指出了正确解模糊的限制条件,并提出一种基于相位差模糊图的解模糊方法。仿真分析验证了该方法的有效性。 相似文献