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2发1收 与 2发1收的比较
实验次数 2000次,采用LS进行信道估计,ML进行译码,导频符号长度为10
-2 receive and 2 send a send a receive 2,000 times the number of comparative experiments, using LS channel estimation, ML decoding, pilot symbol length of 10
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抽头长度可变的802.11n信道估计方法.802.11n即将出台,无线网络将迎来革命。本程序是针对802.11n的TGN信道进行可变抽头估计的代码。-Variable length tap 802.11n channel estimation method .802.11 n upcoming wireless networks will usher in the revolution. This procedure is the TGN for 802.11n channel to tap t
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MIMO系统信道估计算法研究
针对LS算法的分析结论所进行的仿真,将根据分析结果,对信噪比的取值、训练序列的长度以及最优训练的选取,分别进行仿真实验。-MIMO systems channel estimation algorithm for the LS algorithm for the analysis of the conclusions of the simulation, the results of the analysis will be based on the signa
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不同导频长度(6,10,20)情况下的信道估计程序,-Different pilot length (6,10,20) in case of channel estimation procedures
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carrier_count= 200
bits_per_symbol = 2
symbols_per_carrier = 50
loop=10
num=5
循环次数 10
子载波数 200
位数/ 符号 2
符号数/ 载波 50
训练符号数 5
循环前缀长度 T/4
调制方式 QAM
多径信道数 2(缺省)
信道最大时延 5 (单位数据符号)
仿真条件 收发之间严格同步
一个OFDM系统
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Channel estimation for a MIMO-OFDM system for AWGN channel estimation technique Cyclic prefix length
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Channel estimation for a MIMO-OFDM system for AWGN channel estimation technique Cyclic prefix length
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Channel estimation for a MIMO-OFDM system for AWGN channel estimation technique Cyclic prefix length
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Channel estimation for a MIMO-OFDM system for AWGN channel estimation technique Cyclic prefix length
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MIMO-OFDM系统子空间法进行盲信道估计,可更改循环前缀长度以比较不同CP对估计性能的影响。-subspace method for blind channel estimation for MIMO-OFDM system. One can change the length of cyclic prefix in order to compare the performance of different CP impact on the estimates.
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A 16-QAM signal X, whose power is normalized as unity, is transmitted with OFDM over the discrete-time channel model h which has been used in Homework #2 and #3. As depicted in the below figure, the transmitter (TX) is now equipped with an N-point ID
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This matlab code provides a MSE of channel estimation for different values of channel length and comparing with a cyclic prefix length.
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驱动长度计算,四条支链的长度计算以及受力分析。都可以用程序求出(Calculation of driving length, length calculation of four branched chains and force analysis. You can use the program to find out)
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实现基于STBC的MIMO_OFDM通信系统在不同信噪比情况下接收端的误比特率的仿真。发射端包括基于基带调制、空时编码、导频插入、IFFT、串并合并以及添加循环前缀;接收端包括去除循环前缀、取出导频估计信道、FFT运算以及并串合并,空时解码等。仿真中采用QPSK、空时编码采用4*3的复正交空时编码矩阵。OFDM子载波数为100,每个子载波传输66个符号,每个符号2比特。IFFT长度为512个符号。发射天线为3个接收天线为2个。(The BER simulation of MIMO_OFDM co
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这些文件将在两用户非正交多址(NOMA)系统中实现用于信号检测的深度学习方法[1]。三个主要脚本分别是生成训练数据、训练神经网络和生成测试结果。该神经网络用于相位衰落的静态标量信道,用于NOMA系统中同时检测2个用户的单个子载波上的传输符号。考虑并测试了两种情况:一种是导频符号数目较少,另一种是循环前缀长度较短。在这两种情况下,深度学习方法都比传统的信道估计方法具有更强的鲁棒性。(These files are to implement the deep learning method for
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