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lesson8
- 信道均衡 目的和原理 MLSE、 DFE、 ZF/LMMSE均衡 干扰抵消 原理 导频干扰抵消和多码道干扰抵消 HSDPA简介 主要信道 接收机结构 -Channel equalization purposes and principles of MLSE, DFE, ZF/LMMSE equalizer pilot interference cancellation principle of interference cancellation and mul
mud-ber
- 比较多用户信号检测各个算法的误码率，如最小均方、最大似然等-MUD,ML,MMSE
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
V-BLAST-[matlab-source-code]
- 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 simulation, the V-BLAST system and its detection algorithm can be used for BPSK, QPSK, 16QAM, 64QAM modulation. Detection algorithm for the ML, M
MIMO_detection
- MIMO 检测仿真 ML MMSE ZF 还有OSIC的-MIMO detector simulation ML MMSE ZF OSIC' s there
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
v-blast-detectors-44
- 4*4MIMO系统V-blast系统，内含调制解调程序，接受算法包括ZF，MMSE，ML-4* 4MIMO system V-blast system, including modulation and demodulation process, acceptance algorithm includes ZF, MMSE, ML
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.
quipan
- 最大似然（ML）准则和最大后验概率（MAP）准则，最小均方误差（MMSE）的算法，通过虚拟阵元进行DOA估计。- Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Minimum mean square error (MMSE) algorithm, Conducted through virtual array DOA estimation.
nq047
- 最小均方误差（MMSE）的算法，ML法能够很好的估计信号的信噪比,借鉴了主成分分析算法（PCA）。- Minimum mean square error (MMSE) algorithm, ML estimation method can be a good signal to noise ratio, It draws on principal component analysis algorithm (PCA).
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