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Description: MATLAB program for OFDM generation and reception
This is a simple MCM communications system. The code is pretty self-explanatory. Here I have not used the cyclic prefix.
Transmitter End:
1. Generate random serial data with M symbols (RANDSRC will do this)
2. Perform modulation (4-PSK = QPSK for now)
3. Serial to parallel
4. IFFT
5. Parallel to serial
Receiver end
Just opposite of transmitter end.
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Size: 1024 |
Author: snapaj |
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Description: 这是一个基于空时分组编码的MIMO_OFDM通信系统的仿真设计。此系统包括QPSK调制解调，IFFT调制，空时编解码，基于训练符号的信道估计等通信模块。
-This is a space-time block coding based on the MIMO_OFDM Communication System Simulation and Design. This system consists of QPSK modulation and demodulation, IFFT modulation, space time coding and decoding, based on training symbols such as communication channel estimation module.
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Size: 12288 |
Author: 小于儿 |
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Description: 这是一个基于空时分组编码的MIMO_OFDM通信系统的仿真设计。
此系统包括QPSK调制解调，IFFT调制，空时编解码，基于训练符号的信道估计等通信模块。
-This is a space-time block coding based on the MIMO_OFDM Communication System Simulation and Design. This system consists of QPSK modulation and demodulation, IFFT modulation, space-time coding and decoding, based on training symbols such as communication channel estimation module.
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Size: 9216 |
Author: 王国伟 |
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Description: Add pilot symbols to the input data just before transmission
2. Implement cyclic prefix (CP), use 10 of symbol length. Divide the 64
input data points into 8-bit streams, generate and append the CP based
on each symbol
3. Include complex noise into transmitted signal
Organization of Transmitter end of OFDM System
a. Generate Data
b. Modulate
c. Serial to Parallel
d. Cyclic Prefix (CP)
e. Add Pilot points
f. IFFT
g. Parallel to Serial
-Add pilot symbols to the input data just before transmission
2. Implement cyclic prefix (CP), use 10 of symbol length. Divide the 64
input data points into 8-bit streams, generate and append the CP based
on each symbol
3. Include complex noise into transmitted signal
Organization of Transmitter end of OFDM System
a. Generate Data
b. Modulate
c. Serial to Parallel
d. Cyclic Prefix (CP)
e. Add Pilot points
f. IFFT
g. Parallel to Serial
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Size: 10240 |
Author: ibrahim |
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Description: This article presents downlink initial synchronization
and cell identification algorithms for long term evolution (LTE) of third-generation (3G) mobile communication systems, which are based on synchronization channel (SCH) and cell specific pilot symbols, respectively.
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Size: 504832 |
Author: HamidReza Mirsalari |
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Description: 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 在瑞利信道环境下 包括信道估计 比较适合初学者-carrier_count = 200 bits_per_symbol = 2 symbols_per_carrier = 50 loop = 10 num = 5 10 cycles 200 of the median number of subcarriers/symbol and the number of symbols of 2 /50 of the carrier the number of training symbol cyclic prefix length of 5 T/4 modulation QAM Number of multi-path channel 2 (default) 5 channel maximum delay (in the data symbol) strict synchronization between the simulation conditions receive an OFDM system in Rayleigh channel environment, including more suitable for channel estimation beginner
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Size: 2048 |
Author: Mir Ge |
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Description: 基于对比BPSK系统的OFDM仿真结果分析,把N个子载波上的传输符号通过IFFT，然后并串转换后传输，在接收端通过串并转换后再进行FFT变换-BPSK OFDM system based on comparative analysis of simulation results, the N sub-carrier transmission symbols by IFFT, and the string conversion and transmission, the receiver string and converted by the FFT, then
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Size: 2048 |
Author: 刘越 |
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Description: 基于训练符号的OFDM（正交频分复用）系统的仿真-Training OFDM symbols based on the simulation system
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Size: 153600 |
Author: 白偌瑶 |
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Description: 对于多输入多输出系统, 传统的基于训练序列的信道辨识方法为跟踪信道的变化, 必须
发送大量冗余信息, 传输效率较低 而基于子空间的纯盲方法又带有不可避免的模糊性, 辨识结果
精度不够。在子空间法的基础上, 利用少量训练符号估计出模糊矩阵, 以此矫正子空间法得到的结
果。仿真结果显示: 在保证辨识精度的前提下, 该方法减少了训练符号等冗余, 提高了传输效率。-In o rder to t rack the channel variat ion of MIMO OFDM sy stems, t radit io nal channel
identif icat io n methods based on training sequence had to send larg e amount of redundant informat ion,
w hich result s in low er eff iciency o f t ransmissio n. Meanw hile, the blind method based o n subspace may
have inevitable ambiguity and low er precision of identif icat io n. In this paper, an est imat io n method fo r the
ambiguity mat rix is proposed, which utilizes less tr aining symbo ls to rect ify the result s f rom subspace
method. T he simulation result s show that this pro posed algo rithm can reduce the amount of t raining
symbols and incr ease the ef ficiency of t ransmission.
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Size: 249856 |
Author: 蜡笔 |
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Description: 这是一个在瑞利信道下，用训练符号进行信道估计的OFDM调制解调程序-This is a in Rayleigh fading, the training symbols to estimate the channel OFDM modulation and demodulation process
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Size: 9216 |
Author: 田文杰 |
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Description: 降低OFDM峰均比限幅方法CCDF曲线比较仿真程序。主要仿真参数为：子载波N=128,各支路采用16QAM调制，限幅率CR=1.4,仿真的OFDM符号数Nsymbol=10000。-Reduce the OFDM PAPR limiting method of CR = 1.4 CCDF curve simulation program. The main simulation parameters are: N = 128 sub-carriers, each branch with 16QAM modulation, limiting the rate of CR = 1.4, the simulation the number of OFDM symbols Nsymbol = 10000.
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Size: 1024 |
Author: 夏源 |
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Description: PAPR and CCDF calculation from OFDM symbols
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Size: 1024 |
Author: mcparedes |
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Description: For ofdm symbols, we can calculate the papr and ccdf
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Size: 1024 |
Author: mcparedes1 |
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Description: 在 OFDM 数学原理和收发模型的基础上，本文对帧同步、定时同步、频率同
步和采样同步给 OFDM 系统所产生的影响进行了理论分析，同时讨论了基于循环
前缀或训练符号的典型 OFDM 同步算法。参考 802.11a 突发数据帧结构和系统参
数，分析几种 OFDM 同步算法用于突发分组传输的性能；在分析了几种经典的信
道估计算法基础上,通过对复杂度和性能的折衷，选择一种适合本文系统的估计
算法。最后作者提出一种改进型 LS 信道估计算法，该算法考虑了 LS 算法中噪声
的影响，从而提高了低信噪比下信道估计的精度。仿真结果表明，改进算法在低
信噪比下具有良好的性能。
-OFDM mathematical principles and transceiver model based on frame synchronization, timing synchronization, frequency synchronization and sampling synchronization to the OFDM system, the impact of the theoretical analysis are also discussed based on the cyclic prefix or training symbols typical OFDM synchronization algorithm . Reference 802.11a burst data frame structure and system parameters, analyze several OFDM synchronization algorithm for burst packet transmission performance several classic channel estimation algorithm based on a compromise between complexity and performance, select a suitable estimation algorithm in this article. Finally, the author proposed a modified LS channel estimation algorithm that takes into account the effects of noise in the LS algorithm, thus improving the low SNR channel estimation accuracy. Simulation results show that the improved algorithm has good performance in low signal-to-noise ratio.
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Size: 8734720 |
Author: 刘金强 |
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Description: matlab环境下，采用802.11a系统物理层参数，一个长训练字与6个OFDM符号构成一帧，瑞丽信道，多普勒100Hz，采用QPSK调制，接收端估计误比特率-matlab environment, using 802.11a physical layer parameters, a word with six long training OFDM symbols of a frame, Ruili channel, Doppler 100Hz, using QPSK modulation, the receiver estimates the bit error rate
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Size: 2048 |
Author: haoyuguang |
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Description: 比较完成的OFDM系统仿真接收端采用的算法和程序流程与发送端发送的OFDM符号的帧结构有关系。具体的帧结构，以及定时估计，频偏估计，剩余误差跟踪的算法可参考算法说明文档。-Compare completed received OFDM symbols OFDM system simulation algorithms and program flow with the sender sends the end frame structure used in a relationship. Concrete frame structure, and timing estimation, frequency offset estimation, residual error tracking algorithm can reference algorithm documentation.
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Size: 128000 |
Author: maomao |
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Description: matlab code for siso-ofdm matlab code using pilot symbols
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Size: 5120 |
Author: mohammad |
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Description: OFDM simulated for a QPSK modulated, 64-subband
OFDM symbols.PTS PAPR reduction technique
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Size: 1942528 |
Author: ahmed |
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Description: Abstract—Diagonal Bell Laboratories Layered Space-Time (DBLAST)
structure offers a low complexity solution to realize the
attractive capacity of Multiple-input and multiple-output (MIMO)
systems. In this paper, we apply D-BLAST in orthogonal frequency
division multiplexing (OFDM) systems and address the issue of
channel estimation. Different other MIMO-OFDM, where
symbols at all tones are always available for decision-directed
channel estimation, in D-BLAST OFDM, we update estimated
channel parameters each time a layer is detected with a least
square (LS) approach, using a pieced combination of received signals
at previous and current OFDM blocks. The initial estimate is
further refined by a robust estimator to exploit the time correlation
of channel parameters among OFDM blocks. Computer simulation
results show the performance improvement over block-wise
channel estimation. It is also shown that D-BLAST with proposed
channel estimation is robust to fast fading of channel parameters.-Abstract—Diagonal Bell Laboratories Layered Space-Time (DBLAST)
structure offers a low complexity solution to realize the
attractive capacity of Multiple-input and multiple-output (MIMO)
systems. In this paper, we apply D-BLAST in orthogonal frequency
division multiplexing (OFDM) systems and address the issue of
channel estimation. Different other MIMO-OFDM, where
symbols at all tones are always available for decision-directed
channel estimation, in D-BLAST OFDM, we update estimated
channel parameters each time a layer is detected with a least
square (LS) approach, using a pieced combination of received signals
at previous and current OFDM blocks. The initial estimate is
further refined by a robust estimator to exploit the time correlation
of channel parameters among OFDM blocks. Computer simulation
results show the performance improvement over block-wise
channel estimation. It is also shown that D-BLAST with proposed
channel estimation is robust to fast fading of channel parameters.
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Size: 80896 |
Author: werad |
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Description: OFDM信号在无线通信中会受到多普勒频移的影响，从而影响了OFDM信号的正交性，引起载波间的干扰和OFDM信号符号间的干扰，本代码先形成含有N个二进制码元的信号，而这个信号的前半部分和后半部分的信号是一样的，然后根据把这个信号调制成OFDM信号，最后接收端根据这个OFDM信号估计出多普勒因子-OFDM signal in a wireless communication will be subject to Doppler shift of influence, thus affecting the OFDM signal orthogonality, causing interference and interference between the OFDM signal symbol between carriers, the code first formed comprising N binary symbols signal, and the first and second halves of this signal is the same signal, and then the OFDM signal according to the estimated Doppler factor modulates the signal to the OFDM signal received, the last side
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Size: 8192 |
Author: hero |
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