Description: 认知无线电的频谱检测算法的MATLAB实现，完整版。-Cognitive radio spectrum detection algorithm of the MATLAB realization of the full version. Platform: |
Size: 69632 |
Author:小范308 |
Hits:
Description: 完整版的频谱检测算法的MATLAB实现，有原理，有程序，有结果。-Full version of the spectrum to achieve detection algorithm of MATLAB, there are principles, procedures and results. Platform: |
Size: 338944 |
Author:小范308 |
Hits:
Description: 基于参数和非参数的多种频谱检测算法研究及仿真结果分析。-Based on the parameters and non-parametric multi-spectrum detection algorithm research and analysis of simulation results. Platform: |
Size: 26624 |
Author:小范308 |
Hits:
Description: 认为不同的认知节点信噪比( SNR)
导致了各节点本地检测结果的可靠性不同,故在此基础上提出了一种基于融合中心进行SNR比较
的认知无线电协作频谱检测算法。-That the different cognitive node SNR (SNR) has led to the detection results of the reliability of the local node is different on this basis it was proposed based on fusion center collaboration SNR compared cognitive radio frequency spectrum detection. Platform: |
Size: 493568 |
Author:宝宝 |
Hits:
Description: 用MATLAB软件进行仿真能量检测频谱感知算法-MATLAB software to simulate the energy use of spectrum sensing algorithm for detecting Platform: |
Size: 1024 |
Author:婷婷 |
Hits:
Description: 摘要：频谱检测技术是认知无线电中极其重要的环节。而协作式的频谱检测由于其良
好的检测性能日益受到人们的关注。基于能量检测，协作频谱检测的算法主要有：与
(AND)算法、或(OR)算法、计数算法、分区算法、似然比算法、线性加权算法和分布式
无线通信系统(DWCS)算法。分析表明，这些协作检测算法能够改善系统的检测性能、
减低干扰冲突、提高频谱利用率。-Knot current spectrum within the detection area, the main sorting and several methods of analysis and based on the channel fading, noise and other factors on test performance spectrum, proposed a physical layer testing, MAC (MediumAccess Control, Media Access Control) layer and multi-user collaboration adaptive detection test key technical problems that exist in their analysis and processing methods, and the detection performance of the qualitative and quantitative analysis and discussion. Platform: |
Size: 528384 |
Author:贾琼 |
Hits:
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:
Search - 频谱检测算法