搜索资源列表
MIMO23_ML_ZF
- MIMO 2*3系统ML和ZF检测的BER性能仿真-MIMO 2* 3 System ML and ZF detection BER performance simulation
V-BLASTSystem
- 本程序是对V-BLAST系统及其检测算法的仿真，可采用BPSK,QPSK,16QAM,64QAM调制。检测算法为ML，MMSE,ZF,以及采用迫零的连续干扰消除检测算法。-This program is a V-BLAST system and its detection algorithm of the simulation, can be used BPSK, QPSK, 16QAM, 64QAM modulation. Detection algorithm for the ML, MMS
MIMO
- 自己改写的MIMO系统中进行ML,MSE,ZF3种estimation，并比较-in the MIMO system, realize the ML,MSE,ZF estimator, and compare them
ZF
- Matlab code for MIMO Zero Forcing
zf_mmse
- code matlab for computing BER comparison MIMO 2x2 of ZF equalizer and MMSE equalizer (Rayleigh channel)
svdmmsepmmse
- MIMO通信系统中采用三节点结构的模型下比较MMSE，SVD,ZF的误码率性能的仿真-MIMO communication system adopts three point structure under the model of MMSE, SVD, ZF the ber performance of the simulation
zf
- MIMO通信系统中两点结构模型下采用ZF准则预编码检测误码率性能的仿真-MIMO communication systems in the two structural model under the rule of using ZF precoding detection bit error rate performance of the simulation
ZF
- MIMO的预编码技术 破零zero forcing算法 -MIMO precoding broken zero zero forcing algorithm
cctemp
- mimo在两种情况下（ZF和MMSE）的信道容量，并进行比较-mimo channel capacity, in both cases (ZF and MMSE) and compared
ZF
- The ZF channel estimation algorithm based on V - BLAST MIMO -The ZF channel estimation algorithm based on V- BLAST MIMO
MIMO
- 在matlab的环境下，实现MIMO检测功能，包括最大似然检测（ML），最小均方误差（MMSE）检测和迫零（ZF）检测-In the matlab environment, to achieve MIMO detection, including maximum likelihood detection (ML), minimum mean square error (MMSE) detection and zero-forcing (ZF) detection
BER-for-BPSK--ZF--ML-2-2
- mimo 2*2 ,采用BPSK调制，内含ZF，MMSE检测算法。-mimo 2* 2,using BPSK modulation, containing ZF, MMSE 1detection algorithm.
capacity-of-ZF-and-MRT
- 关于MIMO天线的matlab仿真，有代码和仿真结果图-Matlab simulation on MIMO antenna with code and the simulation results
ITPP-ZF-4_4-4QAM
- 基于IT++的MIMO下行链路线性迫零（ZF）均衡检测算法采用4QAM调制-MIMO linear zero forcing (ZF) equalization detection algorithm based IT++ using 4QAM modulation
ITPP-ZF_VB_DFE-4_4-4QAM
- 基于IT++的MIMO下行链路采用V-BLAST的ZF-DFE（ZF-VB DFE）检测算法采用4QAM调制-MIMO ZF-DFE detection algorithm using V-BLAST (ZF-VB DFE) based IT++ using 4QAM modulation
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
codes for github
- 基本的线性预编码，包含MRT，ZF，RZF，MF预编码(basic linear precoding inclduing MRT,ZF,RZF,MF precoding)
低复杂度bd-zf及zf量化预编码
- 毫米波大规模MIMO系统中的低复杂度混合预编码和zf量化预编码以及zf全数字预编码系统效率比对
demo(1)
- MIMO系统预编码仿真，使用ZF、MMSE、SLNR、BD算法调试成功。(MIMO system precoding simulation, using ZF, MMSE, SLNR, BD algorithm debugging successfully.)
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