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Description: 解相关及最小均方误差和传统多用户检测器的比较-Decorrelating and MMSE and traditional multi-user detector comparison
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Size: 12288 |
Author: 黄海 |
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Description: with channel,
take a input vector which is no of users of b[kx1] and
then give to matched filter,non-correlating detector,
and non-adaptive mmse,see the results by hadamard
by randomised sequence.
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Size: 1024 |
Author: yasir |
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Description: 本文针对并行干扰抵消检测器的不足之处，提出了改进的并行干扰抵消检测算法——基于多项式展开的并行干扰抵消多用户检测算法。该算法将多项式展开检测器作为并行干扰抵消检测器第一级的数据估计值，以提高检测可靠性。通过仿真实验，首先验证了多项式展开检测器的性能。然后比较改进算法与传统检测器的性能，验证改进算法的系统性能得到明显改善；并与并行干扰抵消检测器、解相关检测器和MMSE检测器相比较，验
证得到该改进算法的性能也有不同程度的改善。
-this paper discusses the principle and performance of the
conventional detector and the parallel interference cancellation(PIC)detector
separately.Since the conventional detector take MAI only as the background noise without considering the existence of the other users,the existence of MAI has a significant impact on the performance of CDMA systems.Each stage of PIC detector utilizes the data estimates of the initial or previous stage,produces a new set of MAI estimates,and then subtracts out all of the MAI for each user in parallel.Through Monte Carlo simulation in different scenarios,the results illustrate the influence of MAI in conventional CDMA ystems.Theexperimental results show PIC detector can effectively eliminate MAI andimprove the system BER.
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Size: 571392 |
Author: bluels123 |
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Description: It will CDMA detectors ..
1. MMSE detector
2. Matched filter
3. Decorrelator detector
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Size: 16384 |
Author: malli |
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Description: 一个基于MMSE噪声后验概率估计的话音激活检测算法.-A voice activity detector with MMSE a posteriori noise estimation and Decision-Directed SNR estimation
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Size: 2048 |
Author: zwlin |
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Description: Approximate ML Detector based on MMSE
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Size: 154624 |
Author: dev |
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Description: RLS 算法在MMSE忙多用户检测器的应用-RLS algorithm in a busy multi-user MMSE detector applications
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Size: 4096 |
Author: 糊糊 |
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Description: detect voice from signal of speach Voice Activity Detector (VAD)
with MMSE a posteriori noise estimation and Decision-Directed SNR estimation-detect voice from signal of speach Voice Activity Detector (VAD)
with MMSE a posteriori noise estimation and Decision-Directed SNR estimation
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Size: 2048 |
Author: blackgk |
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Description: MIMO-Capacity.m (Simulation of MIMO channel capacity of antenna transceivers)
MIMO-detector Route tinh.m (compare the bit error rate of twin separation method linear ZF and MMSE)
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Size: 5120 |
Author: An An |
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Description: It contains 4 matlab codes for ZF,MMSE,ML equalizer for MIMO systems and 1 document based on linear detector for MIMO system
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Size: 151552 |
Author: yashoda |
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Description: MMSE解相关多用户检测器和CD传统多用户检测器的误码率比较（八个用户）程序- MMSE decorrelating multiuser detector and CD traditional multi-user detector error rate (eight users) procedure
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Size: 2048 |
Author: 唐导纪 |
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Description: Q2是检测16—QAM信号，QPSK是输入为QPSK的MIMO系统的最大似然检测，ZF和MMSE算法-Q2 is detected the signal of the 16-QAM, QPSK maximum likelihood detector is input to QPSK MIMO system, ZF and MMSE algorithm
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Size: 1024 |
Author: fang |
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Description: THIS CODE SIMULATE A COMPLETE MIMO SYSTEM (MULTIPLEXING GAIN),AND AN ADDITIVE 1/2 FEC WAS USED ,THE RESULTS COMPARED WITH MMSE DETECTOR WITHOUT FEC,THE VITERBI DECODER WAS USED AT THE RECEIVER
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Size: 1024 |
Author: kemo |
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Description: MIMO 检测仿真 ML MMSE ZF 还有OSIC的-MIMO detector simulation ML MMSE ZF OSIC' s there
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Size: 2048 |
Author: jack |
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Description: Six equalizers for V-BLAST- the program I am using is an OSIC detector function that implements VBLAST algorithm using MMSE (SINR based ordering), ZF (SNR based ordering) and column-norm based ordering.
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Size: 2048 |
Author: 曹金鑫 |
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Description: MMSE检测器matlab仿真，代码工作流程为：发送序列->调制->扩频->AWGN->解调->解扩->MMSE检测器-MMSE detector matlab simulation
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Size: 2048 |
Author: 芦苇 |
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Description: MIMO 大规模MIMO 和六个detector 去检测 性能好坏BER-MIMO massive MIMO with six detectors.
ZF MMSE ZF-SIC MMSE-SIC ZF-OSIC MMSE-OSIC
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Size: 20480 |
Author: YUNSHU LI |
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Description: mmse is the one of detector mimo
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Size: 1024 |
Author: niha |
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Description: mmse detector simulation for single user mimo system
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Size: 1024 |
Author: hiep nguyen |
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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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