MU-MIMO-technique

C# 串口通信源码示例，老外写的，非常精美。(Serial Communication C# source code examples, written by foreigners, very fine.)

基于OFDM的单脉冲雷达回波信号极化散射矩阵提取的仿真程序，可以根据角误差提取任意角度的目标PSM。(Extracted emulation program based on OFDM single-pulse radar echo signal polarization scattering matrix can be extracted according to the angle error at any angle of the goal of the PSM.)

基于MIMO系统原理的stcb，空时编码仿真程序(MIMO stcb)

说明：  关于sd卡在嵌入式应用中的资料，是网友亲自翻译的，适用于初用sd卡的爱好者(On the sd card applications in the embedded information is personally Netizen translation for the beginning of the lovers with sd card)

在嘈杂的非线性渠道，采用LMS算法，设计新颖的数字均衡器。(DESIGN OF NOVEL DIGITAL EQUALIZERS FOR NOISY NONLINEAR CHANNEL USING LMS ALGORITHM.)

采用滤波器组，将盲分离与声源定位结合在一起。滤波器组中分别进行子带处理，并且在每个子带中进行声源定位，最后综合所有子带估计的方向得到多个声源的方位信息，同时将声源信息作为ICA分析的约束条件，可以在色噪声及多得到更好的盲分离效果。其优势在于用滤波器组进行多次的估计声源方向，再加以合适的权值均衡后即可得到更优的估计。(The use of filters will be blind source separation and sound localization together. Filter group were sub-band treatment, and in each sub-band in Sound Source Localization, and finally all the sub-band is estimated to be more than the direction of sound source location information, as well as sound source information as ICA analysis of the binding conditions, colored noise can be better and many of the blind source separation effect. Its advantage lies in a number of filter banks with estimated sound source direction, coupled with an appropriate balance weights can be obtained after the better estimate.)

OFDM多径信道的仿真和模拟,有效的仿真了多径信道(simulation of OFDM through multipath channel)

说明：  基于esprit算法的宽带信号（线性调频信号）doa估计(DOA estimation based on esprit)

说明：  遗传算法的应用实例，包括一维函数最小值和多维优化bp神经网络。非常适合初学者。(The application examples of genetic algorithm include minimum value of one-dimensional function and multi-dimensional Optimized BP neural network. Perfect for beginners)

通过调用计算雷达的信噪比，对比雷达在三咱不同雷达截面积下的信噪比，从而分析不同雷达截面积下信噪比情况是如何的，得出相应结论(Calculated by calling the radar signal-to-noise ratio than radar signal-to-noise ratio in the three Zan different radar cross section, which is how to analyze the signal-to-noise ratio in a different radar cross section, draw the corresponding conclusions)