MIMO/OFDM不同信道估计对比

MIMO-OFDM系统信道估计中的最优导频设计，结合了mimo 和OFDM 技术，信道估计中的 最优导频算法。

Orthogonal Frequency Division Multiplexing (OFDM) is a powerful technique employed in com- munications systems suering from frequency selectivity. Combined with multiple antennas at the transmitter and receiver as well as adaptive modulation, OFDM proves to be robust against channel delay spread. Furthermore, it leads to signicant data rates with improved bit error performance over links having only a single antenna at both the transmitter and receiver. This project demonstrates OFDM with adaptive modulation applied to Multiple-Input Multiple- Output (MIMO) systems. We apply an optimization algorithm to obtain a bit and power al- location for each subcarrier assuming instantaneous channel knowledge. The analysis and sim- ulation is considered in two stages. The rst stage involves the application of a variable-rate variable-power MQAM technique for a Single-Input Single-Output (SISO) OFDM system. This is compared with the performance of xed OFDM transmission where a constant rate is applied to each subcarrier. The second stage applies adaptive modulation to a general MIMO system by making use of the Singular Value Decomposition to separate the MIMO channel into parallel subchannels. For a two-input antenna, two-output antenna system, the performance is compared with the performance of a system using selection diversity at the transmitter and maximal ratio combining at the receiver

通信学习资源

Signal_detection_OFDMPowerofDNN 题为“深度学习在OFDM系统中用于信道估计和信号检测的强大功能”的MATLAB演示 部署了Rayleigh信道，为Winner2信道（Data_Generation_WIN2.m显示WIN2 for SISO）安装了该工具箱，但是将在信道实现上花费更多时间，因此不建议这样做，并且建议将AWGN（衰落信号，SNR）不发送信号，我％的AWGN代码 MIMO-OFDM无线通信书中的MMSE_Channel_Tap_Block_Pilot_Demo_1.m MMSE_Uniform_PDP.m通过奇异值分解进行OFDM信道估计的论文 没有上传python版本，其他人上传了python演示 Demonstration_of_papers_DNN是主要的 DNN_Regression_Image_SER_Test用于染色 不需要使用T

G3-PLC网络的窄带OFDM PLC规范 中文翻译版本 G3-PLC网络的窄带OFDM PLC规范 中文翻译版本，中文版本和英文版本，对照翻译

ofdm的matlab仿真程序，从信号发生到调制解调，误码率计算，也包括信道估计，插值，信道编码~对于学习通信理解OFDM原理有很强的指导意义，同时也是能完成仿真试验的任务。

基于matlab的QPSK-OFDM程序仿真，里面包含一些ifft fft串并转换等步骤

关于MIMO-OFDM的MATLAB仿真，程序是对的，可以跑出结果。

The Second Edition of OFDM Baseband Receiver Design for Wirless Communications, this book expands on the earlier edition with enhanced coverage of MIMO techniques, additional baseband algorithms, and more IC design examples. The authors cover the full range of OFDM technology, from theories and algorithms to architectures and circuits. The book gives a concise yet comprehensive look at digital communication fundamentals before explaining signal processing algorithms in receivers. The authors give detailed treatment of hardware issues - from architecture to IC implementation. Links OFDM and MIMO theory with hardware implementation Enables the reader to transfer communication received concepts into hardware; design wireless receivers with acceptable implemntation loss; achieve low-power designs Covers the latest standards, such as DVB-T2, WiMax, LTE and LTE-A Includes more baseband algorithms, like soft-decoding algorithms such as BCJR and SOVA Expanded treatment of channel models, detection algorithms and MIMO techniques Features concrete design examples of WiMAX systems and cognitive radio Companion website with lecture slides for instructors