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Description: This project aim was to build wireless software modem for data communication
between two computers using an acoustic interface in the voice frequency range (20Hz–
20,000Hz). The transmitting antenna is a speaker (frequency response of: 90Hz –
20,000Hz) and the receiving antenna is a microphone (frequency response of: 100Hz –
16,000Hz). The test files used as information files were text files.
This goal was attained both in an incoherent scheme and in a coherent scheme.
Build under Matlab code, our modem uses OFDM (orthogonal frequency division
multiplexing) modulation, synchronization by LMS sequence, channel estimation (no
equalizer) via pilot tones. The symbols are either PSK or ASK for a constellation size of
2 or 4. To optimize the probability of error, these symbols were mapped using Gray
mapping.
Report
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Size: 559541 |
Author: buyop |
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Description: 基于DVB-T标准,COFDM调制系统的利用导频信号进行符号粗同步,仿真条件：68个OFDM符号，64QAM调制，莱斯信道-Based on DVB-T standard, COFDM modulation system using pilot symbols rough signal synchronization, simulation conditions: 68 OFDM symbols, 64QAM modulation, Rice channel
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Size: 2048 |
Author: 穆佳 |
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Description: This project aim was to build wireless software modem for data communication
between two computers using an acoustic interface in the voice frequency range (20Hz–
20,000Hz). The transmitting antenna is a speaker (frequency response of: 90Hz –
20,000Hz) and the receiving antenna is a microphone (frequency response of: 100Hz –
16,000Hz). The test files used as information files were text files.
This goal was attained both in an incoherent scheme and in a coherent scheme.
Build under Matlab code, our modem uses OFDM (orthogonal frequency division
multiplexing) modulation, synchronization by LMS sequence, channel estimation (no
equalizer) via pilot tones. The symbols are either PSK or ASK for a constellation size of
2 or 4. To optimize the probability of error, these symbols were mapped using Gray
mapping.
Report-This project aim was to build wireless software modem for data communicationbetween two computers using an acoustic interface in the voice frequency range (20Hz-20000Hz). The transmitting antenna is a speaker (frequency response of: 90Hz-20000Hz) and the receiving antenna is a microphone (frequency response of: 100Hz-16000Hz). The test files used as information files were text files.This goal was attained both in an incoherent scheme and in a coherent scheme.Build under Matlab code, our modem uses OFDM ( orthogonal frequency divisionmultiplexing) modulation, synchronization by LMS sequence, channel estimation (noequalizer) via pilot tones. The symbols are either PSK or ASK for a constellation size of2 or 4. To optimize the probability of error, these symbols were mapped using Graymapping.Report
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Description: WLAN仿真－发送机
wlan No Comments
设置完系统参数后，开始产生发送数据。
1. 产生随机的发送bit（tx_bits），这里不考虑信道编码。
2. QAM映射
3. 将数据映射到不同载波，形成OFDM符号
4. 产生pilot，并将pilot插入OFDM符号中
5. 加入dc和guard子载波
6. 进行ifft，将频域信号变到时域，并加入循环前缀
7. 对信号进行overlap window
8. 在时域产生short preamble
9. 在时域产生long preamble
10. 将preamble和数据符号组成packet
11. 升采样
得到信道传输的数据Tx_signal_up
具体程序见附件 wlan_transmitter.m-WLAN Simulation- wlan No Comments transmitter system parameters set finished, the beginning to have to send data. 1. Have sent random bit (tx_bits), here does not consider channel coding. 2. QAM mapping 3. The data is mapped to a different carrier to form OFDM symbols 4. Have a pilot, and pilot inserted OFDM symbols 5. Adding dc and guard subcarriers 6. To carry out ifft, will change the frequency domain signal to time domain, and add cyclic prefix 7. the signals overlap window8. In the time domain have a short preamble9. In the time domain have a long preamble10. the preamble and data symbols packet11. or sampling received data transmission channel Tx_signal_up specific procedures see Annex wlan_transmitter.m
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Size: 1024 |
Author: 福东方 |
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Description: 本文在分析移动无线信道衰落特性的基础上,阐述了OFDM系统的基本原理,主要研究了OFDM通信系统中的基于导频符号的信道估计问题,分析了几种经典的信道估计算法以及相关的关键技术环节。 在此基础上介绍了OFDM技术在现实中的一个应用——WLAN IEEE802.11a系统模型,利用Matlab仿真软件完成OFDM系统信号生成、噪声生成、导频插入、循环前缀、调制、解调等部分的设计,最后结合计算机仿真对系统关键技术(导频、循环前缀、估计算法)的有效性和可行性进行了全面的分析与比较。适合matlab研究-Based on the analysis of mobile channel fading characteristics based on the OFDM system on the basic principles of research in the OFDM communication system of the pilot symbols based on channel estimation problem, an analysis of several classical channel estimation algorithm and the associated key technical links. On this basis, introduced OFDM technology in a practical application- WLAN IEEE802.11a system model, using Matlab simulation software to complete OFDM signal generation, noise generation, pilot insertion, cyclic prefix, modulation, demodulation and other parts of the design, the final combination of computer simulation of the system of key technologies (pilots, cyclic prefix, it is estimated that algorithm) the effectiveness and feasibility of a comprehensive analysis and comparison. Suitable for research matlab
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Author: 赵洪森 |
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Description: 导频符号调制方式对OFDM信道估计的影响，自己觉得不错的文献，分享下-Pilot symbols of the OFDM modulation channel estimation of the impact of feel good literature, to share the next
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Size: 367616 |
Author: 李龙 |
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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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Author: HamidReza Mirsalari |
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Description: 提出一种新的低复杂度的迭代turbo信道估计技术，用一种迭代的方式充分利用前导、导频和软译码信息，在时频选择衰落信道中提高系统性能，同时保持系统的吞吐量，数值和分析的结果显示了相比于已存在的信道估计方法，所提出的技术可以在具有较少前导和导频符号时，达到具有理想CSI的系统性能。-A new low complexity iterative turbo channel estimation, an iterative approach with the full use of leading, pilot and soft decoding information, select the time-frequency fading channel to improve system performance, while keeping the system throughput, numerical and analytical results show compared to the existing channel estimation method, the proposed technology and leading in a few pilot symbols to achieve the system performance with ideal CSI.
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Size: 1498112 |
Author: 雨儿 |
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Description: 半盲估计算法利用很少的导频符号，以LMMSE准则来估计、初始化信道系数，运用的两种算法进行对比，牺牲极小的带宽而尽可能准确的传输有用信息-Half blind algorithm using little pilot.finally symbols, with LMMSE criteria to estimate, initialization, the use of the channel coefficient two algorithm is compared, and sacrifice of tiny bandwidth and accurately as possible transmission useful information
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Author: 韩寒 |
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Description: 编译原理 词法分析
[实验项目] 完成以下正则文法所描述的C和Pascal语言子集单词符号的词法分析程序。
<标识符>→字母︱ <标识符>字母︱ <标识符>数字
<无符号整数>→数字︱ <无符号整数>数字
<单字符分界符> →+ ︱－ ︱* ︱； ︱(︱)
<双字符分界符>→<大于>=︱<小于>=︱<小于>>︱<冒号>=︱<斜竖>* <小于>→< <等于>→= <大于>→> <冒号> →: <斜竖> →/
该语言的保留字 ：begin end if then else for do while and o r not
-Compiler theory lexical analysis [pilot project following the completion of regular grammars as described in C and Pascal language subset word symbols of lexical analysis procedures. < Identifier> → letters ︱ < identifier> letter ︱ < identifier> Digital < unsigned integer> → digital ︱ < unsigned integer> Digital < single character boundaries operator> → the PPLS ︱- |* | | (|) < two-character delimiter> → < greater than> = ︱ < less than> = ︱ < less than> ︱ < colon> = ︱ < oblique vertical> * < less than> → < < equal to> -> = < greater than> →> < colon> →: → < inclined Vertical> /language reserved words: begin end if then else for do while and or not
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Author: |
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Description: 本代码可产生ZCZ序列，应用于同步码和导频码，具有很好的自相关性，应用环境matlab-This code can be generated ZCZ sequence applied preamble and pilot symbols, with good autocorrelation, application environment matlab
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Size: 1024 |
Author: 辛永超 |
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Description: ofdm channel estimation based on pilot symbols
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Size: 4096 |
Author: mohamad |
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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: 在OFDM系统中，利用在两个连续的OFDM符号中导频信号之间的相位差，进行基于导频的频域CFO估计技术。-In OFDM systems, the use of two consecutive OFDM symbols pilot phase difference between the signals, frequency domain based pilot CFO estimation techniques.
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Size: 1024 |
Author: 耿晓文 |
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Description: A subspace-based blind method is proposed for estimating
the channel responses of a multiuser and multiantenna orthogonal
frequency division multiplexing (OFDM) uplink system.
It gives estimations to all channel responses subject to a scalar matrix
ambiguity and does not need precise channel order information
(only an upper bound for the orders is required). Furthermore,
the scalar ambiguity matrix can be easily resolved by using only
one pilot OFDM block, given that the number of users is smaller
than the number of symbols in the pilot symbol block. Equalization
methods are discussed based on the estimated channels. By using
partial knowledge of the channels, a multipath subspace method is
proposed that reduces the computational complexity. Simulations
show that the methods are effective and robust.
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Author: Moyad |
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Description: Maps symbols to data carriers, guard carriers and pilot carriers for
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Author: Ashu |
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Description: symbols, because covering all frequencies, could be effective against the selective frequency fading, but more sensitive for the impact of fast fading channel. Therefore, the block-type pilot is developed under the assumption of slow fading channel. In case of same number of pilots, the performance is decided by channel change rate, known as coherent time.
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Author: Rushabh k Modi |
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Description: 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 communication system based on STBC under different SNR is realized. The transmitter includes baseband modulation, space-time coding, pilot insertion, IFFT, serial-parallel combination and adding cyclic prefix; the receiver includes removing cyclic prefix, extracting pilot estimation channel, FFT operation, parallel-serial combination, space-time decoding, etc. The complex orthogonal space-time coding matrix is used in QPSK and space time coding in 4*3. The number of OFDM subcarriers is 100, and each subcarrier transfers 66 symbols with 2 bits per symbol. IFFT is 512 symbols in length. The transmitting antenna is 3 receiving antennas, 2.)
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Author: guokeDz |
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Description: 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 signal detection in a two-user non-orthogonal multiple access (NOMA) system [1]. The 3 main scripts are to generate training data, to train the neural network and to produce testing results, respectively. The neural network is trained for a static scalar channel with phase fading and is used to detect transmitted symbols on a single subcarrier for 2 users simultaneously in a NOMA system. Two scenarios are considered and tested: one is with fewer number of pilot symbols and the other is with shorter length of cyclic prefix. The deep learning method is shown to be more robust than conventional channel estimation methods in both cases.)
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Author: 浅浅bjyxszd |
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