搜索资源列表
mimo 接收机
- 描述了mimo系统的发送和接收，以及zF均衡，计算了BER
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
vblast
- MIMO系统线性均衡，ZF均衡，MMSE均衡，及其改进算法-MIMO system linear equalization, ZF equalization, MMSE equalization, and its improved algorithm
ZF
- The use of space-division multiple access (SDMA) in the downlink of a multiuser multiple-input, multiple-output (MIMO) wireless communications network can provide a substantial gain in system throughput. The challenge in such multiuser systems is des
ZF
- Matlab code for MIMO Zero Forcing
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
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
MIMO检测
- MIMO中的ZF检测，MMSE检测，和QR分解，LTL分解，克罗克分解，及两种检测算法的误码率分析
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
MMMO
- MIMO 2 3系统ML和ZF检测的BER性能仿真(BER performance Simulation of ML and ZF Detection in MIMO 23 system)
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