Description: Adaptive Filter. This script shows the BER performance of several types of equalizers in a static channel with a null in the passband. The script constructs and implements a linear equalizer object and a decision feedback equalizer (DFE) object. It also initializes and invokes a maximum likelihood sequence estimation (MLSE) equalizer. The MLSE equalizer is first invoked with perfect channel knowledge, then with a straightforward but imperfect channel estimation technique. -Adaptive Filter. This script shows the BER performance of several types of equalizers in a static channel with a null in the passband. The script constructs and implements a linear equalizer object and a decision feedback equalizer (DFE) object. It also initializes and invokes a maximum likelihood sequence estimation (MLSE) equalizer. The MLSE equalizer is first invoked with perfect channel knowledge, then with a straightforward but imperfect channel estimation technique. Platform: |
Size: 134144 |
Author:zhang |
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Description: Convolution_decoder_bit_by_bit for DS-UWB is revising信号模板的估计， 信道的变化， 加入自适应均衡，译码反馈用于信号模板估计，消除信道变化的影响，-Convolution_decoder_bit_by_bit for DS-UWB is revising the template signal is estimated, channel changes, adding adaptive equalization, decoding feedback signal templates for estimates, to eliminate the impact of channel change, Platform: |
Size: 9216 |
Author:陈富龙 |
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Description: This demo shows the BER performance of linear, decision feedback (DFE), and maximum likelihood sequence estimation (MLSE) equalizers when operating in a static channel with a deep null. The MLSE equalizer is invoked first with perfect channel knowledge, then with an imperfect, although straightforward, channel estimation algorithm. The BER results are determined through Monte Carlo simulation. The demo shows how to use these equalizers seamlessly across multiple blocks of data, where equalizer state must be maintained between data blocks. Platform: |
Size: 102400 |
Author:Lee |
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Description: OFDM Signal generation and decoding using QPSK as the modulation technique. This type of OFDM is particularly useful for WiMAX and other Wireless and Multimedia Standards. QAM4 and QPSK is same modulation technique. Just run the Model and with different SNRs in the Channel Block observe the performance of the OFDM. Please leave your feedback for the model so that we can improve it.
Platform: |
Size: 10240 |
Author:SimonKap22 |
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Description: Hi ,
Here is a list of the files contained in RLS.zip
FIR_RLS : FIR RLS demo (FIR is used when there is an access to the output i.e feedback is used like in a dc motor we use speed as feedback)
IIR_RLS : IIR RLS demo (IIR is used when there is no access to the output the system model is only a function of the input i.e channel equalization prolbem )
FIRsampledata : a sample data for FIR RLS demo
IIRsampledata : a sample data for IIR RLS demo
Enjoy !
-Hi ,
Here is a list of the files contained in RLS.zip
FIR_RLS : FIR RLS demo (FIR is used when there is an access to the output i.e feedback is used like in a dc motor we use speed as feedback)
IIR_RLS : IIR RLS demo (IIR is used when there is no access to the output the system model is only a function of the input i.e channel equalization prolbem )
FIRsampledata : a sample data for FIR RLS demo
IIRsampledata : a sample data for IIR RLS demo
Enjoy !
Platform: |
Size: 51200 |
Author:Do-Myung Kim |
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Description: The main code is called "comparison of equalization schemes".
It uses functions, defined seperately to compute the bit error rate for different typs of equalizers.
That means times domain equalizer (TDE) with minimum mean square (MMSE) and zero forcing (ZF) algorithm,time domain decision feedback equalizer (DF_TDE) and linear frequency domain equalizer (FDE) with MMSE and ZF algorithms are used.For all simulations QPSK symbols and a tapped delay line channel with white gaussian noise are used.
Allthough the codes should be regarded as one package every single function can be of good use for other simulations.
With best regards,
Andreas Platform: |
Size: 6144 |
Author:Sokolov |
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Description: 。本文研究了SC-FDE系统中的最小均方误差判决反馈
均衡（MMSE-DFE）和基于LMS准则的自适应均衡算法，
MATLAB仿真表明，由于LMS自适应均衡算法能有效的跟
踪信道变化并更新均衡器的抽头系数，其性能略优于最小
均方误差判决反馈均衡算法。-. In this paper, the SC-FDE system, the minimum mean square error decision feedback
Equalization (MMSE-DFE) and criteria based on LMS adaptive equalization algorithms
MATLAB simulation results show that LMS adaptive equalization algorithm as effective with
Track changes and update the channel equalizer tap coefficients, its performance slightly better than the minimum
Mean square error decision feedback equalization algorithm. Platform: |
Size: 3706880 |
Author:姜烨 |
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Description: This paper analyzes the performance of phase
feedback, quasi-orthogonal space-time block codes (QOSTBC)
and Extended OSTBC systems in the presence of
feedback delay, feedback error and amount of channel
feedback. Space-time code constructed for nT transmit
antennas can easily be extended to nT×p antennas transmit
based on a feedback of only p-1 bits. This paper shows that
more feedback bits (more than p-1 bits) in ideal system
(EOSTBC system with no feedback delay and no feedback
error) cause no more considerable performance in the
system. But in the inaccurate feedback information with
increasing feedback bits from p-1 bits decrease sensitivity of
system and increase performance considerably. This paper
obtains an upper bound for phase feedback error respect to
number of feedback bits. Moreover it shows that the system
can select adaptively one of the three modes, phase only
feedback, EO-STBC and QO-STBC with respect to
reliability and amount of feedback information. Platform: |
Size: 797696 |
Author:serag |
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Description: LTE链路级的仿真，非常的全面。考虑了现有LTE的大部分技术。MATLAB仿真，有些功能是用C代码写的。http://www.pudn.com/downloads240/sourcecode/comm/wireless/detail1121790.html
的内容的最新版本。-The LTE Link Level simulator simulator is provided with a test simulation scenario that can be used to verify that the simulator runs in the expected way.
In the main directory you can execute the LTE_sim_batch_quick_test MATLAB script. This script provides a means to
test the performance of an LTE transmission on an uncorrelated PedB channel and flat Rayleigh channel for several transmission modes. Since currently the feedback calculation for the Closed Loop Spatial Multiplexing (CLSM) mode is not implemented, only the Single-Input Single-Output (SISO), Transmission Diversity (TxD) and Open Loop Spatial Multiplexing (OLSM) modes are simulated. Platform: |
Size: 4478976 |
Author: |
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Description: 基于信道量化反馈的预编码仿真程序，采用均匀量化方式，采用LDL分解的预编码技术，可得到不同反馈bit（1bit，2bit，3bit）条件下系统的误码性能。-Quantified based on channel feedback precoding simulation program, using the uniform quantization, LDL decomposition of the pre-coding techniques, and can get different feedback bit (1bit, 2bit, 3bit) under the conditions of the system BER performance. Platform: |
Size: 3072 |
Author:付卫红 |
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Description: In a multiple transmit antenna, single antenna per receiver downlink channel with limited channel state feedback, we consider the following question: given a constraint on the total system-wide feedback load, is it referable to get low-rate/coarse channel feedback from a large number of receivers or high-rate/high-quality feedback from a smaller number of receivers? Acquiring feedback from many receivers allows multi-user diversity to be exploited, while high-rate feedback allows
for very precise selection of beamforming directions. We show that there is a strong preference for obtaining high-quality feedback, and that obtaining near-perfect channel information from as many receivers as possible provides a significantly larger sum rate than collecting a few feedback bits from a large number of users. Platform: |
Size: 2106368 |
Author:xinpha |
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Description: The problem of channel equalization via channel
identification (CEQCID) that has previously been considered by a
handful of researchers is explored further. An efficient algorithm
for mapping the channel parameters to the equalizers coeficients
is proposed. The proposed scheme is compared with a lattice
least squares (LS) based receivers. For the particular application
of the high frequency (HF) radio channels, we find that the
CEQCID has lower computational complexity. In terms of the
tracking performance, also, the CEQCID has been found to be
superior to the LS based receivers [4]. We emphasize on the
implementation of a fractionally tap-spaced decision feedback
equalizer (DFE) and compare that with the T-spaced DFE of
[4]. We show that the former is a better choice for the multipath
HF channel-The problem of channel equalization via channel
identification (CEQCID) that has previously been considered by a
handful of researchers is explored further. An efficient algorithm
for mapping the channel parameters to the equalizers coeficients
is proposed. The proposed scheme is compared with a lattice
least squares (LS) based receivers. For the particular application
of the high frequency (HF) radio channels, we find that the
CEQCID has lower computational complexity. In terms of the
tracking performance, also, the CEQCID has been found to be
superior to the LS based receivers [4]. We emphasize on the
implementation of a fractionally tap-spaced decision feedback
equalizer (DFE) and compare that with the T-spaced DFE of
[4]. We show that the former is a better choice for the multipath
HF channel Platform: |
Size: 420864 |
Author:hamed |
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Description: 采用多天线的认知无线电系统相对于单天线认知无线电系统，既有传统的资源（频域，时域，码域），又有空域资源。本文研究基于博弈论的有限反馈认知MIMO系统的资源分配，涉及发射功率、空域（采用波束成形）和反馈速率等资源的分配。利用有限的反馈信道反馈量化的信道状态信息(CSI)，基于量化CSI，本文主要研究联合功率分配与波束成形优化、次用户（认知用户或非授权用户）反馈速率控制、联合功率分配与反馈速率控制等相关资源分配问题。-Multi-antenna cognitive radio system with respect to a single antenna cognitive radio systems, both traditional resource (frequency domain, time domain, code domain), there airspace resources. In this paper, a limited resource allocation game theory of cognitive MIMO system based on feedback, involving the launch distribution power, airspace (using beam-forming) and feedback rate and other resources. With limited feedback channel feedback quantized channel state information (CSI), based on quantified CSI, this paper studies the joint power allocation and beamforming optimization, secondary users (cognitive user or unauthorized user) feedback rate control, joint power allocation and feedback rate control and other issues related to resource allocation. Platform: |
Size: 52224 |
Author:sunjing |
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Search - channel feedback