mmWave_Channel_Model-master

毫米波 MIMO 中指向不同角度的天线阵的方向图(Directional patterns of antenna arrays pointing to different angles in millimeter wave MIMO)

说明：  NOMA系统级仿真，多用户，多径瑞利信道(NOMA System Level Simulation)

说明：  有助于学习LS信道估计的编码,以及mmse和LMMSE(ls chanel MMSE CHANEL LMMSE CHANEL)

5G 网络 matlab 仿真 5G网络场景模拟 仿真 matlab代码，可运行(Matlab simulation of 5G network)

说明：  stm32f407 跑马灯实验 原子个例程 学习模块(stm32f407 led run stm32f407 stm32f407 stm32f407)

qpsk突发调制，完美实现qpsk，使用方便，简介，完美运行(qpsk burst modulation, the perfect realization of qpsk, easy to use, Profile, perfect running)

说明：  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)

说明：  psk调制,在matlab命令区输入bpskdigital[1 0 1 1 0 0 1 0],1]按运行,即可看到调制波(Psk modulation, input bpskdigital [1 0 1 0 0 0] in the matlab command area, 1] press operation, you can see the modulation wave)

OFDM系统的自适应功率和比特分配算法，实现系统资源的自适应分配（4)－－原创(adaptive allocation for OFDM system)

认知无线电中基于BPSK循环自相关函数的信号检测，时域上的经典算法，许多论文引用的方法。(signal dection based on cyclostationary of BPSK in Congnitive Radio)