Channel estimation LS MMSE

实现基于STBC的MIMO_OFDM通信系统在不同信噪比情况下接收端的误比特率的仿真。发射端包括基于基带调制、空时编码、导频插入、IFFT、串并合并以及添加循环前缀；接收端包括去除循环前缀、取出导频估计信道、FFT运算以及并串合并，空时解码等。仿真中采用QPSK、空时编码采用4*3的复正交空时编码矩阵。OFDM子载波数为100，每个子载波传输66个符号，每个符号2比特。IFFT长度为512个符号。发射天线为3个接收天线为2个。(The BER simulation of MIMO_OFDM communication system based on STBC under different SNR is realized. The transmitter includes baseband modulation, space-time coding, pilot insertion, IFFT, serial-parallel combination and adding cyclic prefix; the receiver includes removing cyclic prefix, extracting pilot estimation channel, FFT operation, parallel-serial combination, space-time decoding, etc. The complex orthogonal space-time coding matrix is used in QPSK and space time coding in 4*3. The number of OFDM subcarriers is 100, and each subcarrier transfers 66 symbols with 2 bits per symbol. IFFT is 512 symbols in length. The transmitting antenna is 3 receiving antennas, 2.)

VB写的一个简单的服务器与客户端程序，可以进行简单的本机通讯。经修改可以用于双机通讯。(VB to write a simple server and client, can be simple local communication. Modified can be used for two-machine communication.)

半导体通讯协议，包含SECS-I SECS-II HSMS GEM讲解(include SECS-I SECS-II HSMS GEM)

热分析实例，包含结构，动力学等的实例，帮你了解ansys的运用(Thermal analysis as an example, structure, dynamics, etc., to help you understand the use of ansys)

说明：  ADMM算法 切普信号的参数估计问题 包括个数估计和频率估计(The parameter estimation of Chep signal based on ADMM algorithm includes number estimation and frequency estimation.)

说明：  DRM 外辐射源雷达的杂波抑制算法代码，LMS RLS ECA 有问题。(The code of clutter suppression algorithm for DRM external emitter radar has some problems with LMS RLS ECA.)

说明：  小数频锁相环建模，适用于学习了解小数频率综合器设计人群。(Modeling of fractional frequency PLL)

说明：  用MATLAB进行AM调制解调的仿真实验 包含包络 加噪 调制系数等变量的影响(The simulation experiment of AM modulation and demodulation with MATLAB includes the influence of envelope plus noise modulation coefficient and other variables)

说明：  TCP/IP通信截取指定IP和port的数据包(packet sniffer)

OFDM channel estimation DFT single document, ultra-detailed, very helpful for understanding OFDM, but also helpful for understanding how to simulate channel estimation