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Description: CDMA以及MC-CDMA中的多用户联合检测
MMSE算法以及ZF(迫零)算法-CDMA and MC-CDMA in multi-user MMSE joint detection algorithm, as well as ZF (zero forcing) algorithm
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Size: 5120 |
Author: 何超 |
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Description: 这里是两个matlab开发的频率细化分析算法，可用在各种信号处理应用中！程序中的数据为仿真数据 如需分析实际信号，请有matlab基础的自己添加实际信号进行分析。-Here are two matlab detailed analysis of the frequency of the development of algorithms that can be used in a variety of signal processing applications! Process data for the simulation data for analysis of the actual signal, are invited to add their own matlab based on the actual signal analysis.
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Size: 2048 |
Author: 熊健 |
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Description: Single Carrier FDMA又称SC-FDMA或者DFT-Spread-OFDM是3GPP LTE最新提出的适用于上行传输的一种新方案。相对于OFDMA（主要用于下行），其最大的优势在于低峰值平均功率比（即PAPR）。本程序包括OFDMA，SC-FDE（单载波频域均衡）以及SC-FDMA程序，接收端采用经典的ZF和MMSE检测算法，程序短小精悍，相当经典，方便该领域的人学习与研究。-Single Carrier FDMA or SC-FDMA, also known as DFT-Spread-OFDM is the latest 3GPP LTE uplink transmission for a new program. Compared to OFDMA (mainly used for the downlink), the biggest advantage lies in its low peak-average power ratio (ie, PAPR). This procedure, including OFDMA, SC-FDE (single carrier frequency domain equalization), as well as SC-FDMA procedure, the receiving end the use of classical ZF and MMSE detection algorithm, procedures dapper, very classic, convenient in the field to learn and research.
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Size: 50176 |
Author: 程鹏 |
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Description: OFDM系统中ZF均衡和MMSE均衡算法源码-OFDM system ZF equalization and MMSE equalization algorithm source code
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Size: 2048 |
Author: 贾风 |
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Description: blast检测方案，比价了ZF,MMSE,ZF-SIC,MMSE-SIC四种检测算法的性能-blast testing program, the price ZF, MMSE, ZF-SIC, MMSE-SIC detection algorithm in the performance of four
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Size: 3072 |
Author: 章彩 |
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Description: In this Mfile, I want to investigate the performance of LSE algorithm in
OFDM channel estimation with methods of equalizations like MRC and ZF.
For further information see the "Xiaodong Cai and Georgios B. Giannakis, Error Probability Minimizing Pilots for OFDM with M-PSK Modulation over Rayliegh-Fading Channels,” IEEE Transactions on Vehicular technology, vol. 53, No. 1, pp 146-155, Jan. 2004.
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Size: 28672 |
Author: Ardalan |
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Description: MATLAB code on linear minimum mean square error (LMMSE) estimation and its application to the problem of channel equalization in digital communication systems.
amr amin: code on the application of channel equalization in digital communication systems. - MATLAB code on linear minimum mean square error (LMMSE) estimation and its application to the problem of channel equalization in digital communication systems.
amr amin: code on the application of channel equalization in digital communication systems.
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Size: 2048 |
Author: amr |
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Description: 1.原始信号A，通过信道受噪声污染后的信号q，然后分别经过均衡器ZF（MMSE）得到信号U，可以画出U的分布图 2.分别应用LMS,SATO,CMA算法得到U。（其中包括最佳延迟、均方误差的计算）所有结果均以图像形式显示。-1. The original signal A, subject to noise pollution through the channel after the signal q, and then through the equalizer, respectively ZF (MMSE) receive the signal U, the distribution of U can draw Figure 2. Were applied LMS, SATO, CMA algorithm to be U. (Including the best delay, mean square error terms) all the results are displayed in graphic form.
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Size: 819200 |
Author: concha |
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Description: TD-SCDMA系统联合检测中的信道估计、信道估计后处理、信道估计串行干扰消除后处理算法的源代码。其中，信道估计采用频域快速FFT法以减少运算量；后处理采用激活窗检测法，只保留激活用户的多径信息，其余置0，以达到降低干扰及噪声的目的；串行干扰消除可以消除多小区信道估计的干扰，以得到本小区的纯净信道估计结果。-TD-SCDMA system, joint detection of channel estimation, channel estimation and post-processing, channel estimation and post-processing the serial interference cancellation algorithm source code. Among them, frequency-domain channel estimation using fast FFT method to reduce computational complexity post-processing detection method used to activate windows, leaving only the active user' s multi-path information, the remaining set 0, in order to achieve the purpose of reducing interference and noise serial interference cancellation can be Multi-cell channel estimation to eliminate the interference in order to get the purity of the cell channel estimation result.
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Size: 5120 |
Author: 梦 |
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Description: TD-SCDMA中联合检测技术中的Matlab仿真算法，包括DMF算法，ZF-BLE算法，MMSE算法等-Joint detection in TD-SCDMA technology in the Matlab simulation algorithms, including DMF algorithm, ZF-BLE algorithm, MMSE algorithm
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Size: 23552 |
Author: 王冬 |
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Description: 层空时码有三种普遍的检测算法：最大似然（Maximum Likelihood ,ML）检测算法、迫零（zero forcing ,ZF）检测算法、最小均方误差（Minimum Mean Squared Error,MMSE）检测算法。-There are three layers in general space-time code detection algorithms: maximum likelihood (Maximum Likelihood, ML) detection algorithm, forcing zero (zero forcing, ZF) detection algorithm, minimum mean square error (Minimum Mean Squared Error, MMSE) detection algorithm.
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Size: 572416 |
Author: 张京雷 |
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Description: All of these matlab files deal with SFBC/STBC. i,e transmit diversity.
Additionally, 2x2 ZF channel estimation is demonstrated.
Also MMSE channel estimation in Rayleigh fading environment is demonstrated.
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Size: 9216 |
Author: Abhijit |
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Description: MIMO SDM completed in Matlab
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Size: 328704 |
Author: hieuhuan |
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Description: 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
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Size: 11264 |
Author: lisuyi |
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Description: With the increasing demand of higher data rate for telecommunication, the IEEE802.11n standard was constituted in 2009. The most important character of the standard is MIMO-OFDM, which not only improves the throughput but also the spectrum efficiency and channel capacity. And in wireless communication, the role of MIMO detectors plays an important part to remove inter-symbol interference (ISI) caused by multipath fading channel. In this paper the BER performance of IEEE 802.11n for 3x2, 4x2 and 4x3 antennas are compared using MMSE and ZF detectors in Matlab Simulink.
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Size: 465920 |
Author: wawi |
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Description: this code matlab calculte the BER vs SNR of multi user CDMA system using different detectors sush as MMSE and ZF in rayleigh channel model
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Size: 26624 |
Author: widad |
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Description: mimo系统中常见的三种算法中的性能比较(Performance comparison of three common algorithms in MIMO system)
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Size: 31744 |
Author: 力问 |
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Description: % 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; %Minimum Noise Power
MMNP = 5;
LAZY2 = 6;
real_ch = 0; % real_ch = 0 refers to simulated channel in MATLAB, otherwise refers to real channel
SNR_dB = 20;% transmit SNR in the simulated channel
nr_frames = 20; % number of frames sent when simulation.
detect_type = ZF; % Detector choice
select_type = MBER; % Antenna selection choice
disp('');
tx(nr_frames);
disp('Press any key to continue');
pause
RF(real_ch,SNR_dB);
disp('Press any key to continue');
pause
BER = rx(detect_type,select_type);
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Size: 3933184 |
Author: hlayumi |
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