搜索资源列表
E50
- 对mimo在瑞利信道中的量化并利用Zero-Forcing
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
5
- scr ipt for computing the BER for BPSK modulation in a Rayleigh fading channel with 2 Tx, 2Rx MIMO channel Zero Forcing equalization
MATLAB
- A 2by3 MIMO model using Simulink. The decoder uses zero forcing algorithm. Set in the workspace the modulation order (QAM modulation), Doppler shift, SNR in dB, bit rate, sample per frame, max number of bits and max number of errors before running th
ZF
- Matlab code for MIMO Zero Forcing
ZF
- MIMO的预编码技术 破零zero forcing算法 -MIMO precoding broken zero zero forcing algorithm
ZFBF_SUS
- This is the file for zero-forcing beamforming in MIMO. The file also include SUS algorithm.
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
zero-forcing-mimo
- All rights reserved by Krishna Pillai, http://www.dsplog.com The file may not be re-distributed without explicit authorization from Krishna Pillai. Checked for proper operation with Octave Version 3.0.0 Author : Krishna Pillai Email :
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-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_DFE-4_4-4QAM
- 基于IT++的MIMO下行链路迫零判决反馈均衡（ZF-DFE）检测算法采用4QAM调制-MIMO Zero forcing decision feedback equalization (ZF-DFE) detection algorithm based IT++ using 4QAM modulation
FINAL_VERSION
- On the performance of zero-forcing processing in multi-way massive MIMO relay networks
lattice redution
- 基于格基规约的MIMO信道接收,采用破零均衡译码，得到发送的信号(Based on the lattice based MIMO channel reception, the zero-forcing balanced decoding is used to get the transmitted signal.)
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