Description: 在基于脉冲的UWB系统中，采用瑞克接收机合并多径信号能量并进行相干检测，信道估计问题即估计多径信号的到达时间和幅度。在基于OFDM的UWB系统中，接收机根据信道频域响应对每个子信道进行频域均衡后进行相干检测，信道估计问题即估计信道频域响应。-Pulse-based UWB systems, rake receivers using the combined multipath signal energy and coherent detection, channel estimation problem that is estimated multipath signal arrival time and amplitude. OFDM-based UWB system, the receiver under the channel frequency response of each subchannel to frequency domain equalization after coherent detection, channel estimation problem that is estimated channel frequency response. Platform: |
Size: 2048 |
Author:王洁 |
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Description: 认知无线电技术检测技术，包括能量检测，周期检测等的仿真及分析-Detection of cognitive radio technologies, including energy detection, the simulation cycle of testing and analysis Platform: |
Size: 474112 |
Author:王颖 |
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Description: 本程序用于实现OFDM系统中的能量检测方式的频谱检测。(The programme is the algorithm for energy detection in OFDM systems.) Platform: |
Size: 1024 |
Author:ninila
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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 |
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Search - energy detection OFDM