Search - dispersive channel

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[Communication-Mobile] ubc_2009_fall_Song_Xuegui DL : 0: CHANNEL ESTIMATION TECHNIQUES FOR OFDM SYSTEMS IN DISPERSIVE TIME-VARYING CHANNELS
Update : 2025-03-07 Size : 431kb Publisher : Thomas
[matlab] ifdma_tfrank DL : 0: The Interleaved Frequency Division Multiple Ac- cess (IFDMA) scheme is based on compression, repetition and subsequent user dependent frequency shift of a modulated signal. Multiple access is enabled by the assignment of overlapping but mutually orthogonal subcarriers to each user. In this paper it is shown that IFDMA can be regarded as unitary precoded OFDMA with interleaved subcarriers. On the other hand, IFDMA is shown to be a CDMA variant with frequency domain orthogonal signature sequences and chip interleaving. Thus, it combines the advantages of single and multi carrier transmission such as low peak to average power ratio, orthogonality of the signals of different users even for transmission over a time dispersive channel and low complexity. Simulation results show the good performance of coded IFDMA transmission over a mobile radio channel for different data rates.
Update : 2025-03-07 Size : 517kb Publisher : Casper
[SCM] Equalization_Tutorial DL : 0: Adaptive equalization教程-Adaptive equalizers compensate for signal distortion attributed to intersymbol interference (ISI), which is caused by multipath within time-dispersive channels. 􀂃 Typically employed in high-speed communication systems, which do not use differential modulation schemes or frequency division multiplexing 􀂃 The equalizer is the most expensive component of a data demodulator and can consume over 80 of the total computations needed to demodulate a given signal [01] Adaptive Equalization KEVIN BANOVIC Slide 3 RESEARCH CENTRE FOR INTEGRATED MICROSYSTEMS – UNIVERSITY OF WINDSOR EQUALIZATION TUTORIAL Channel Equalizer Adjustment FIR Equalizer Decision Device Error Computation s k ( ) y k ( ) e k ( ) r k ( ) s k ( ) Training Sequence Symbol Statistics Blind Mode Decision-Directed Mode Training Mode Adaptive Equalization
Update : 2025-03-07 Size : 395kb Publisher : 陈鹏
[Program doc] NonWSSUS_Fading_Model DL : 0: 一篇关于nonWSSUS衰落信道模型的分析文章-Analysis of NonWSSUS Fading Dispersive Channel Model
Update : 2025-03-07 Size : 468kb Publisher : Victor
[Algorithm] the-use-of-the-LMS-algorithm-- DL : 0: LMS算法对线性色散信道的自适应均衡，并且信道的加性噪声为未知-the use of the LMS algorithm for adaptive equalization of a linear dispersive channel that produces (unknown) distortion
Update : 2025-03-07 Size : 1kb Publisher : cyzhope
[Communication-Mobile] 49702838-Dispersive-Time-Varying-Channel-Estimati DL : 0: dispersive ofdm channel cir estimation
Update : 2025-03-07 Size : 434kb Publisher : kimoskimos
[matlab] my_ACO_OFDM DL : 0: matlab实现了OFDM功能，ACO-OFDM可以在可见光中使用。-Orthogonal frequency division multiplexing (OFDM) is a modulation technique which is now used in most new and emerging broadband wired and wireless communication systems because it is an effective solution to intersymbol interference caused by a dispersive channel.
Update : 2025-03-07 Size : 2kb Publisher : 刘伟
[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
Update : 2025-03-07 Size : 406kb Publisher : kartick
[Program doc] OFDM-in-time-dispersive-channel DL : 0: matlab coding for OFDM system and improve its efficiency in terms of BER
Update : 2025-03-07 Size : 21kb Publisher : Harjeet
[Software Engineering] OFDM-Demodulation DL : 0: 文章介绍了OFDM解调方式在水下时间反转信道中的应用研究。-This work addresses the problem of OFDM transmission in dispersive underwater channels where impulse responses lasting tens of miliseconds cannot be reliably handled by recently proposed methods due to limitations of channel estimation algorithms.
Update : 2025-03-07 Size : 380kb Publisher : 王峰
[Other] 802.11a simulink DL : 0: 基于WiFi 802.11a协议的无线通信系统的开发端到端的802.11a的物理层，自适应调制，前向纠错码，ofdm传输，高斯白信道仿真 Viterbi解码等(End-to-end 802.11a physical layer * All mandatory and optional data rates: 6, 9, 12, 18, 24, 36, 48, and 54 Mb/s * BPSK, QPSK, 16-QAM, 64-QAM modulations * Forward error correction coding (convolutional; code rates 1/2, 2/3, 3/4) * OFDM transmission: 52 subcarriers, 4 pilots, 64-pt FFTs, circular prefix * Data interleaving * PLCP preamble (modeled as 2x2 long training sequences; see below) * Receiver equalization * Viterbi decoding * Data rates selectable on-the-fly * Adaptive modulation demo over dispersive multipath fading channel)
Update : 2025-03-07 Size : 907kb Publisher : swust_hy