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 Platform: |
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Author: |
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Description: 介绍了基于最小均方算法(LMS 算法) 的自适应均衡器的原理和结构,针对用硬件实现LMS
算法的自适应均衡器存在的诸多缺点,利用MATLAB 工具对各种结构形式的自适应均衡器在不同
信道模型下的收敛速度和精度进行仿真,并介绍了该仿真程序。-Introduction based on the least mean square algorithm (LMS algorithm) of the adaptive equalizer of the principles and structure, for hardware implementation using LMS adaptive equalizer algorithms exist many drawbacks, the use of MATLAB tools for a variety of structural forms of adaptive equalizer channel model in different convergence speed and accuracy of simulation, and introduction of the simulation program. Platform: |
Size: 191488 |
Author:宋 |
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Description: 单载波频域均衡SCFDE的MATLAB源码，包括迫零均衡和MMSE均衡-Single-carrier frequency domain equalization SCFDE the MATLAB source code, including zero forcing and MMSE balanced balanced Platform: |
Size: 997376 |
Author:zuoxiaoya |
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Description: this equalizer mat lab code used in digital systems. the code has detailed description of equalizer matlab code-this is equalizer mat lab code used in digital systems. the code has detailed description of equalizer matlab code Platform: |
Size: 1024 |
Author:krishna |
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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: have further added a very simple Linear Equalizer to the code, where I assume that the channel is perfectly known. Note that for equalization to work here, the prefix length must be equal to or greater than the length of the channel. Platform: |
Size: 12288 |
Author:ibrahim |
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