搜索资源列表
LR_MMSE
- 格基约减辅助的MMSE算法，可与ZF算法做比较-lattice reduction aided MMSE algorithms
MU_MIMO
- 多用户MIMO预编码技术的对比，bd预编码，zf预编码，mmse预编码等，对学习多用户mimo系统很有帮助。-Multi-user MIMO precoding technology comparison, bd precoding, zf precoding, mmse precoding, etc., to learn multi-user mimo system is very helpful.
prg-cdma
- this code matlab calculte the BER vs SNR of multi user CDMA system using different detectors sush as MMSE and ZF in rayleigh channel model
MU_MIMO_DL_precoders
- In a MIMO system for ZF, MF, MMSE precoding three different criteria and filter simulation, and compare its different.
zf_mmse_non
- 无线通信方面，关于MMSE与ZF检测方法的性能比较。-MMSE AND ZF
zf_mmse-precoding
- This code show ZF, MMSE precoding for MIMO system
matrix decomposition for MIMO
- 完成MIMO通信检测的两种算法ZF、MMSE算法的矩阵分解算法。模型采用16QAM调制。(MIMO communication algorithm to complete the two algorithms, ZF and MMSE algorithm matrix decomposition algorithm. The model adopts 16QAM modulation.)
wireless communication
- MIMO通信，VBlast串行干扰抵消，结合ZF算法和MMSE算法，比较其性能。MIMO通信 串行干扰抵消(MOMO communication, serial interference cancellation)
SFBC
- MIMO-OFDM using STBC, ZF MMSE equalizer
maindetection1
- MMSE与ZF准则下mimo接收检测算法(MIMO receiver detection algorithm under MMSE and ZF criteria)
04265413
- CDMA以及MC-CDMA中的多用户联合检测 MMSE算法以及ZF(迫零)算法()
deftnixion__suppose
- CDMA以及MC-CDMA中的多用户联合检测 MMSE算法以及ZF(迫零)算法()
014694
- CDMA以及MC-CDMA中的多用户联合检测 MMSE算法以及ZF(迫零)算法()
多用户检测
- 主要实现了接收天线数量和发送天线数量可配的mimo系统多用户检测，分别采用ML，MMSE，ZF检测方法，得到性能比较曲线。(The multi-user detection of mimo system with the number of receiving antennas and the number of transmitting antennas is mainly realized. The performance comparison curve is obtained by us
03-2x2MIMO系统的完整数据链仿真
- % Type of different detectors, parameters for Detector.m ML = 1; % Joint ML Detector JMMSE = 2; % Joint MMSE Detector ZF = 3; % Joint Zero-Forcing Detector % Type of different antenna selection criteria methods MBER = 1; MMI = 2; LAZY = 3; MNP = 4