Description: ofdm系统基于LS和LMS信道估计的SER性能仿真对比。-ofdm system based on LS and LMS Channel Estimation SER Performance Comparison. Platform: |
Size: 2279 |
Author:cheng |
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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 Platform: |
Size: 559541 |
Author:buyop |
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Description: ofdm系统基于LS和LMS信道估计的SER性能仿真对比。-ofdm system based on LS and LMS Channel Estimation SER Performance Comparison. Platform: |
Size: 2048 |
Author:cheng |
Hits:
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: |
Size: 559104 |
Author: |
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Description: ofdm程序，构造共轭时间-载波矩阵，一便应用RCC算法，本程序运用LMS信道估计。-OFDM procedures conjugate tectonic time- carrier matrix, one should be used RCC algorithm, the procedure to use LMS channel estimation. Platform: |
Size: 4096 |
Author:韩聪 |
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Description: ofdm系统仿真程序，简单估计了LMS信道没有加入与MMSE等其他信道估计算法的比较-ofdm system simulation program, a simple estimate of the LMS channel is not joined with other MMSE channel estimation algorithm Platform: |
Size: 6144 |
Author:李铭慧 |
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Description: Matlab的OFDM仿真，信道估计，有BER曲线 该程序进行了简单的LMS信道估计，没有加入与MMSE等其他信道估计算法的比较；-Matlab simulation of OFDM, channel estimation, BER curves the program was simple LMS channel estimation, not joined with the MMSE channel estimation algorithm and other comparative Platform: |
Size: 4096 |
Author:mama |
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Description: 在awagn噪声下实现lms信道估计算法，以及我的算法改进。-Lms in awagn noise to achieve channel estimation algorithm, as well as improving my algorithm. Platform: |
Size: 18432 |
Author:胡廷星 |
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Description: Channel estimation techniques for OFDM systems based on a pilot arrangement are investigated. Channel estimation based on a comb type pilot arrangement is studied through different algorithms for both estimating the channel at pilot frequencies and interpolating the channel. Channel estimation at pilot frequencies is based on LS and LMS methods while channel interpolation is done using linear interpolation, second order interpolation, low-pass interpolation, spline cubic interpolation, and time domain interpolation. Time-domain interpolation is obtained by passing to the time domain by means of IDFT (inverse discrete Fourier transform), zero padding and going back to the frequency domain by DFT (discrete Fourier transform). In addition, channel estimation based on a block type pilot arrangement is performed by sending pilots in every sub-channel and using this estimation for a Platform: |
Size: 3072 |
Author:MUHAMMAD SHAKIL |
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Description: Performance comparison of RLS and LMS channel estimation techniques with optimum training sequences for MIMO-OFDM systems
Performance comparison of RLS and LMS channel estimation techniques with optimum training sequences for MIMO-OFDM systems Platform: |
Size: 2048 |
Author:MUHAMMAD SHAKIL |
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Description: 该程序进行了简单的LMS信道估计，没有加入与MMSE等其他信道估计算法的比较；-The program for a simple LMS channel estimation, there is no comparison algorithm and MMSE join other channels and other estimation Platform: |
Size: 9216 |
Author:霍嘟 |
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