本人上传的MIMO的注水原理MATLAB 程序,适合了解注水原理的同志们学习

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

详细介绍了多用户MIMO的信道容量的计算过程。

西电双创周大规模MIMO所用参考书，压缩包里提供了参考书PDF以及完整的参考代码 Massive MIMO Networks:Spectral, Energy, and Hardware Efficiency “Massive MIMO is an essential topic in the field of future cellular networks. I have not seen any other book which can compete at that level of detail and scientific rigor. I liked the didactic style, coming back to root definitions (cellular networks, spectral efficiency, channel models, and so forth) which will be very useful to PhD students and others starting in this area. The models are very well explained and justified as opposed to being imposed out of nowhere. This makes the reading particularly pleasant and rich. Overall, a great tool to researchers and practitioners in the field.”

基于matlab的MIMO系统2*2、3*3、4*4的仿真源码，并且有信道容量计算的代码。

MIMO传输中ML算法、ZF算法、MMSE算法的MATLAB仿真比较，可更改输出输入天线数目，可对数据传输量进行修改。

混合波束成形结构能有效解决毫米波MIMO系统中射频链路受限的问题，但要设计性能较优的混合波束成形算法仍然存在困难。为了实现更高的频谱利用率，提出了一种性能较优的迭代最小均方误差（Alt-MMSE）混合波束成形算法。该算法利用数字矩阵的正交特性，首先进行初始数字矩阵设计，然后通过最小化发送信号与接收信号的均方误差不断迭代更新数字矩阵，在每一次迭代过程中，通过更新后的数字矩阵得到模拟矩阵的相位信息。仿真结果表明，与OMP混合波束成形算法和基于矩阵分解的混合处理方案相比，该算法具有更优的性能且更接近于纯数字波束成形。

[Important]some contributions on mimo radar。一本好书

多用户MIMO-CDMA系统下行链路设计及MATLAB仿真