搜索资源列表
VBLASTdetectors
- 一种常用空分复用的MIMO系统，v-blast系统的各种检测算法：ML，MMSE,ZF,以及采用迫零的连续干扰消除检测算法
bd1
- 一个4*4mimo通信系统的仿真，qpsk调制，用mmse自适应解调，画出了ber曲线-A 4* 4mimo communication system simulation, qpsk modulation and demodulation with adaptive mmse, draw a curve ber
MIMO2
- MIMO 系统信道估计算法研究 引入MMSE算法，将之与LS算法共同仿真，进行算法之间性能的对比 -MIMO systems channel estimation algorithm for the introduction of MMSE algorithm, will be shared with the LS algorithm simulation, algorithm to the comparison between the performance
MMSE
- MIMO-OFDM系统信号检测的各种算法比较-MIMO-OFDM system, a variety of signal detection algorithms
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
vblast_MMSE_IC
- Vblast，不同的编码方式qam，qpsk等，MMSE检测。不同天线数目设计。-very good for vblast MIMO beginners
AB
- 基于MMSE准则LS /涡轮译码算法和平衡MIMO迭代算法的性能比较-Based on MMSE criterion LS/Turbo decoding algorithm and balanced MIMO iterative algorithm performance comparison
MMSE-DFE
- MINIMUM MEAN SQUARE ERROR-DECISION FEEDBACK EQUALIZER IN MIMO SYSTEM
LS-versus-MMSE
- 这是基于MIMO-OFDM的同步算法研究的源程序。本程序采用的极大似然估计的方法。-This is based on MIMO-OFDM synchronization algorithm source code. The program uses the method of maximum likelihood estimates.
mimo
- 仿真不同MIMO接收机算法的误码率，包括MMSE、ML、迫零法-MIMO receiver algorithms for simulation of different BER, including MMSE, ML, zero forcing
MMSE
- 基于V-BLAST 的MMSE 信道估计算法 MIMO-The MMSE 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
ITPP-MMSE-4_4-4QAM
- 基于IT++的MIMO下行链路线性最小均方误差（MMSE）均衡检测算法采用4QAM调制-MIMO linear minimum mean square error (MMSE) equalization detection algorithm 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
MMSE
- Detection with MMSE in MIMO systems
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
1
- MMSE信号检测，大规模MIMO系统设计，附带matlab程序以及论文！(Low-complexity MMSE signal detection based on Richardson method for large-scale MIMO systems)
毕业设计程序-李鑫
- share knowledge for everybody in this platform to make it easy for your work
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