搜索资源列表
ZF-CI/MMSE-CI/MMSE receiver
- It concerns about the MU-MIMO precoding. We compare the BER performance of ZF channel inverse, MMSE channel inverse, MMSE receiver algorithms.
blcok_diagonalized_ci.基于块对角化信道逆转的多用户预编码程序
- mimo下行基于块对角化信道逆转的多用户预编码程序。,mimo downlink multi-user precoding based on block diagonalization channel inversion
MIMO块对角化预编码技术源代码
- MIMO块对角化预编码技术源代码，以及将该方法与VBLAST技术结合起来。-Block diagonalization precoding MIMO technology source code, as well as the methods and VBLAST technologies.
MIMO-system-signal-processing
- MIMO signal and system 这本书的全部代码。包含了precoding, STBC, detection 算法与书配套，可以对照学习，对初学者很有好处，也可以在代码基础上进行改进。-MIMO signal and system of this book all the code. Accompanied by a book, you can control study, very good for beginners, but also can improve the code
zf_mmse_junheng
- mimo下行的线性预编码，分别基于ZF准则和MMSE准则。-mimo downlink linear precoding, respectively, based on ZF criteria and MMSE criterion.
mimoprecoding
- MIMO OFDM 预编码程序,可以用于MIMO系统的仿真-MIMO OFDM precoding system
MIMO-downlink
- 基于SLNR准则的MIMO下行链路预编码-SLNR criteria based precoding MIMO downlink
precoding-of-the-mu-mimo-
- 多用户mimo下行链路预编码及用户调度的博士论文，里面的思想可以借鉴-Multi-user mimo downlink precoding and user scheduling the doctoral thesis, which can draw on the idea
Precoding
- mimo预编码c++程序，相互学习，相互帮助-mimo precoding c++ program, learn each other and help each other
precoding
- mimo预编码c++程序，相互学习，相互帮助-mimo precoding c++ program, learn each other and help each other
ZFBF_turbo.m
- Zero forcing precoding for MIMO system
Capacity_BD.m
- Capacity of block diagonalization precoding
MIMO-master
- 低复杂度的MIMO检测算法,线性检测算法的一种(It is about MIMO detection, include precoding,Transmitter,Channel and Noise and Receiver)
MU-MIMO-downlink编程
- 压缩包里面是一些有关于多用户MIMO预编码技术的matlab编程，希望能对大家提供一定的帮助(Compression package is some of the multi-user MIMO precoding technology Matlab programming, I hope we can provide some help)
程序
- LTE 物理层解传输分集预编码matlaB仿真程序(lte physical layer solution transmission diversity precoding matlaB simulation program)
MIMO_GMD
- 对MIMO中GMD预编码性能进行仿真，采用基于QR分解的检测方法。(Simulation of GMD precoding performance in MIMO)
Low Complexity Hybrid Precoding
- 这篇论文主要低复杂度下的毫米波大规模MIMO混和预编码和信道估计，该算法能够降低计算复杂度和时间复杂度。(This paper mainly deals with millimeter-wave MIMO mixed precoding and channel estimation under low complexity. The algorithm can reduce the computational complexity and time complexity.)
毫米波MIMO系统中混合预编码的交替最小化算法
- 因此，通过在数字预编码器上实施正交约束，然后提出低复杂度的AltMin算法。 此外，对于部分连接的结构，AltMin算法也是在半定理松弛的帮助下开发的。为了实际实施，所提出的AltMin算法进一步扩展到具有正交频分复用调制的宽带设置。 仿真结果将证明所提出的AltMin算法相对于现有的混合预编码算法具有显着的性能增益。 此外，基于所提出的算法，两种混合预编码结构之间的仿真比较将提供有价值的设计见解。(Therefore, by implementing orthogonal constraint
单用户MIMO迫零预编码
- MIMO预编码技术的研究，实现单用户迫零预编码(Zero forcing precoding)
Massive-MIMO-Precoding-master
- Matlab code for Massive MIMO precoding.