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[File Format] estimationoffrequencyoffsetandchannelinOFDM DL : 0: Date : 2026-01-07 Size : 571kb User : wang
[File Format] ofdm_sync_for_fading_channels DL : 0: this paper talks about ofdm synchronization for selective fading channels,hope it to be of help to evrybody
Date : 2026-01-07 Size : 186kb User : Tony
[File Format] ldpc_implementation DL : 0: LDPC信道编码理论详细分析及matlab算法实现-LDPC channel coding theory and a detailed analysis algorithm matlab
Date : 2026-01-07 Size : 2.58mb User : xingxing
[File Format] WirelesscoherentOFDMmodemsimulation DL : 0: 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
Date : 2026-01-07 Size : 546kb User :
[File Format] channel-estimation-SCFDMA DL : 1: channel estimation is single carrier frequency division multiple access also called as DFT spread OFDM.
Date : 2026-01-07 Size : 732kb User : dude
[File Format] Frequency-domainchannelestimation DL : 0: 关于频域信道估计的最新优秀论文,在MIMO-OFDM领域研究的朋友,请下载学习-With regard to the frequency domain channel estimation of the excellent essays in the MIMO-OFDM research in the field of friends, please download the learning
Date : 2026-01-07 Size : 1.61mb User : xinjianzhou
[File Format] MIMO-OFDM- DL : 0: 主要介绍了现代MIMO—OFDM无线通信系统的事实过程，包括信道估计，同步，纠错的内容-The fact modern MIMO-OFDM wireless communication system processes, including channel estimation and synchronization, error correction
Date : 2026-01-07 Size : 901kb User : dsz
[File Format] Analysis-of-Low-Complexity DL : 0: OFDM系统中基于加窗的DFT算法的低复杂度的MMSE信道估计-OFDM systems MMSE channel low-complexity algorithm based on windowed DFT estimates
Date : 2026-01-07 Size : 307kb User : xuezhen
[File Format] AN-ITERATIVE DL : 0: OFDM虚拟子载波一种基于DFT的迭代的信道估计算法-AN ITERATIVE DFT-BASED CHANNEL ESTIMATION ALGORITHM FOR OFDM SYSTEMS WITH VIRTUAL CARRIERS
Date : 2026-01-07 Size : 319kb User : xuezhen
[File Format] JSIP_2013101709402196 DL : 0: Frequency Synchronization in OFDM System An accurate frequency synchronization method using the zadoff-chu (ZC) constant envelop preamble is analyzed, and a new preamble weighted by pseudo-noise sequence is used for orthogonal frequency division multiplexing (OFDM) systems. Using this method, frequency offset estimator range is greatly enlarged with no loss in accuracy. The range of the frequency estimation is ±30 of subcarrier spacing using ZC sequence as preamble. Simulations in the MATLAB for an AWGN channel show that the proposed method achieves superior performance to existing techniques in terms of frequency accuracy and range.
Date : 2026-01-07 Size : 341kb User : Mohamed
[File Format] term-paper DL : 0: channel estimation in ofdm using neural network
Date : 2026-01-07 Size : 77kb User : bandana
[File Format] OFDM-SYSTEM-MMSE-LS DL : 0: 这篇文章详细介绍了当前LTE中的信道估计算法的比较，很助于理解。-This article details a comparison of current LTE channel estimation algorithm, it helps to understand.
Date : 2026-01-07 Size : 140kb User : 郭鸣霄
[File Format] simulation DL : 0: channel estimation OFDM of WIMAX
Date : 2026-01-07 Size : 10kb User : duythanh
[File Format] chap2_OFDM_basics DL : 0: frequency division multiplexing (OFDM) is used extensively in broadband wired and wireless communication systems because it is an effective solution to intersymbol interference (ISI) caused by a dispersive channel. This becomes increasingly important as data rates increase to the point where, when conventional serial modulation schemes like quadrature amplitude modulation (QAM) or NRZ are used, the received signal at any time depends on multiple transmitted symbols. In this case the complexity of equalization in serial schemes which use time domain equalization rises rapidly. In contrast, the complexity of OFDM, and of systems using serial modulation and frequency domain equalization, scale well as data rates and dispersion increase. [1]–[3]. A second major advantage of OFDM is that it transfers the complexity of transmitters and receivers the analog to the digital domain-frequency division multiplexing (OFDM) is used extensively in broadband wired and wireless communication systems because it is an effective solution to intersymbol interference (ISI) caused by a dispersive channel. This becomes increasingly important as data rates increase to the point where, when conventional serial modulation schemes like quadrature amplitude modulation (QAM) or NRZ are used, the received signal at any time depends on multiple transmitted symbols. In this case the complexity of equalization in serial schemes which use time domain equalization rises rapidly. In contrast, the complexity of OFDM, and of systems using serial modulation and frequency domain equalization, scale well as data rates and dispersion increase. [1]–[3]. A second major advantage of OFDM is that it transfers the complexity of transmitters and receivers the analog to the digital domain
Date : 2026-01-07 Size : 406kb User : kartick