Welcome![Sign In][Sign Up]
Location:
Search - 循环平稳特征

Search list

[Books基于能量_循环平稳特征的联合频谱检测方法

Description: 基于能量_循环平稳特征的联合频谱检测方法.采用两层检测,先是能量检测(双门限),对于SNR居于俩门限之间的再采用循环能量检测法
Platform: | Size: 698896 | Author: lantian1989 | Hits:

[matlab循环平稳特征检测

Description: 基于matlab的认知无线电频谱空穴的循环平稳特征检测,及相关论文,非常好用,欢迎交流
Platform: | Size: 91557 | Author: Artic_chung | Hits:

[3G developCRSystemInMatlab

Description: CR的常用物理层检测算法包括:匹配滤波检测、能量检测和循环平稳特征检测。-CR Common physical layer detection algorithm include: matched filter detection, energy detection and cyclostationary feature detection.
Platform: | Size: 1775616 | Author: 宝宝 | Hits:

[Program docCognitive-Radio

Description: 利用通信系统中调制信号的循环平稳特性,对频谱空洞进行检测,提升频谱感知技术在低信噪比下的性能。实验结果表明:与传统能量检测方法相比,采用循环特征检测方法改善了认知无线电中频谱空洞的检测能力。-Based on the cyclostationarity of modulation signals, spectrum hole is detected, aiming at the improve- ment of the performance of spectrum sensing in low SNR situation. The results show that comparing with the tra- ditional energy detection technique, cyclostationarity-based spectrum sensing technique has greatly improved the detective ability in cognitive radio.
Platform: | Size: 200704 | Author: 曹蒙 | Hits:

[OtherParametersEstimationofSignals

Description: 基于循环平稳特征的正弦调制相位信号参数估计-Parameters Estimation of Signals with Sinusoid Modulated Phase Based on Cyclostationary Character
Platform: | Size: 324608 | Author: wang | Hits:

[Otheraaa

Description: 循环平稳特征频谱空穴检测,能很好的使用和检测。也有理论-The Cyclostationary the spectrum hole detection, the use and detection. Theory
Platform: | Size: 162816 | Author: xiaonian | Hits:

[File Format83

Description: 基于循环统计理论, 对循环平稳信号进行处理, 主要研究了信号的二阶循环统计特性, 即循环自相关函数和循环谱密度, 指出循环自相关函数不为零的循环频率对应着信号中的某些故障, 并 可以对调幅信号进行解调. 通过循环频率扫描方法提取的调制源分布在循环频率域的低频段, 其结 果可用循环频率-频率- 循环谱密度的三维图表示. 用仿真信号对该方法进行验证, 并应用于滚动轴承的内、外圈及滚动体的故障诊断, 可以有效地分离出所对应的故障特征频率.-Statistical theory based on the cycle of cyclostationary signal processing, mainly studied the statistical properties of the signal of second cycle, ie cyclic autocorrelation function and cyclic spectral density, noting that cyclic autocorrelation function is not zero cycle frequency corresponds to a certain signal These faults, and can be demodulated AM signal through cyclic frequency scanning method to extract the modulation source distributed in the frequency domain of the low frequency cycle, the results can be cyclic frequency- Frequency- loop spectral density of the three-dimensional graph. using simulated signals right This method is validated and used rolling bearing, the outer ring and rolling fault diagnosis can be effectively isolated from the corresponding fault characteristic frequency.
Platform: | Size: 169984 | Author: 张力 | Hits:

[source in ebooksingle-detection

Description: 认知无线电频谱感知中的单用户频谱感知的主要三种方法:能量检测,循环平稳特征检测,匹配滤波器检测 的matlab实现的源代码-cognitive radio spectrum sensing:Energy detection, cyclostationary feature detection, matched filter detection 。matlab the source code
Platform: | Size: 4096 | Author: 黄伟伟 | Hits:

[Waveletcyclostationary_toolbox

Description: 循环平稳信号是一类特殊的非平稳信号,其统计特征具有随时间呈周期变化的特点。旋转机械由于周期运行方式其振动信号具有循环平稳特性,因此利用循环平稳分析方法能够提取出在平稳假设下所不能得到的隐藏故障特征信息,为有效地分离和识别旋转机械早期微弱故障特征提供可能。(The cyclostationary signal is a special type of non-stationary signal whose statistical characteristics have a periodic variation with time. Due to the cyclical operation of the rotating machinery, the vibration signal has the characteristics of cyclostationary stability. Therefore, the cyclostationary analysis method can extract the hidden fault feature information that can not be obtained under the stationary assumption, which provides the possibility to effectively separate and identify the early weak fault features of the rotating machinery.)
Platform: | Size: 2842624 | Author: 奋斗的阿科 | Hits:

[Communication-MobileOFDM信号频谱感10

Description: 前已提出的频谱感知方法主要包括匹配滤波器检测、 能量检测、 循环平稳特征检测以及多分辨率频谱感知. 这些方法均为单节点感知方法.然而,在阴影和深度衰落情况下, 单个节点的感知结果并不可靠, 因此, 需要对多个节点的感知结果进行融合,以提高检测可靠性, 即协作感知技术. 文献采用“或” 准则对各个 CR 感知结果进行融合. 文献则提出了基于 D-S 证据理论的协作频谱感知算法,虽然该算法的性能比“或” 准则或“与”准则要好, 但需要存储大量历史信息, 算法的计算复杂度也很高. 文献中分析了采用似然比检测(likelihood ratio test, LRT) 的软判决与采用“与” 准则的硬判决的性能, 结果表明采用软判决的协作感知性能更优(Previously proposed spectrum sensing methods mainly include matched filter detection, energy detection, cyclostationary feature detection and multi-resolution spectrum sensing. These methods are all single node sensing methods. However, in the case of shadow and deep fading, the sensing results of single node are not reliable, so, It is necessary to fuse the sensing results of multiple nodes to improve the detection reliability, i.e. cooperative sensing technology. In the literature, "or" criterion is used to fuse the CR sensing results. In the literature, a cooperative spectrum sensing algorithm based on D-S evidence theory is proposed. Although the performance of the algorithm is better than "or" criterion or "and" criterion, a large amount of historical information needs to be stored, The computational complexity of the algorithm is also very high. In the literature, the performance of the soft decision based on the likelihood ratio test)
Platform: | Size: 6144 | Author: UU仔 | Hits:

CodeBus www.codebus.net