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Description: 本程序用matlab工具编程,采用lms算法实现信道估计.其中信源是+-1二值随机码,信道为多径(3路径)信道.-the procedures used Matlab programming tools using LMS algorithm channel estimation. Which source is -1 two random codes, channel more Drive (Route 3) channel.
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Size: 839 |
Author: 樊点桦 |
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Description: Title: MMSE Receiver for DS-SS in AWGN Channel
Author: Panson Tantikovit
Summary: An adaptive receiver for DS-SS systems
MATLAB Release: R12.1
Required Products: Communications Toolbox,Signal Processing Blockset
Description: This is an adaptive receiver for a direct-sequence spread spectrum (DS-SS) system over an AWGN channel. The adaptive receiver block is modified from the LMS adaptive filter block in DSP Blockset. For DS-SS signal reception, the adaptive filter needs to have multi-rate operation. The input sample rate is equal to chip rate and the output is at symbol rate. Two rates are related by PG, processing gain.
-Title: MMSE Receiver for DS-SS in AWGN Channel Author: Panson Tantikovit Summary: An adaptive receiver for DS-SS systems MATLAB Release: R12.1 Required Products: Communications Toolbox,Signal Processing Blockset Description: This is an adaptive receiver for a direct-sequence spread spectrum (DS-SS) system over an AWGN channel. The adaptive receiver block is modified from the LMS adaptive filter block in DSP Blockset. For DS-SS signal reception, the adaptive filter needs to have multi-rate operation. The input sample rate is equal to chip rate and the output is at symbol rate. Two rates are related by PG, processing gain.
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Size: 20127 |
Author: zzp |
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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
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Size: 559541 |
Author: buyop |
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Description: This an adaptive receiver for a direct-sequence spread spectrum (DS-SS) system over an AWGN channel. The adaptive receiver block is modified from the LMS adaptive filter block in DSP Blockset. For DS-SS signal reception, the adaptive filter needs to have multi-rate operation. The input sample rate is equal to chip rate and the output is at symbol rate. Two rates are related by PG, processing gain
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Size: 8182 |
Author: 张非 |
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Description: This an adaptive receiver for a direct-sequence spread spectrum (DS-SS) system over an AWGN channel. The adaptive receiver block is modified from the LMS adaptive filter block in DSP Blockset. For DS-SS signal reception, the adaptive filter needs to have multi-rate operation. The input sample rate is equal to chip rate and the output is at symbol rate. Two rates are related by PG, processing gain
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Size: 8192 |
Author: 张非 |
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Description: 本程序用matlab工具编程,采用lms算法实现信道估计.其中信源是+-1二值随机码,信道为多径(3路径)信道.-the procedures used Matlab programming tools using LMS algorithm channel estimation. Which source is-1 two random codes, channel more Drive (Route 3) channel.
Platform: |
Size: 1024 |
Author: 樊点桦 |
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Description: Title: MMSE Receiver for DS-SS in AWGN Channel
Author: Panson Tantikovit
Summary: An adaptive receiver for DS-SS systems
MATLAB Release: R12.1
Required Products: Communications Toolbox,Signal Processing Blockset
Description: This is an adaptive receiver for a direct-sequence spread spectrum (DS-SS) system over an AWGN channel. The adaptive receiver block is modified from the LMS adaptive filter block in DSP Blockset. For DS-SS signal reception, the adaptive filter needs to have multi-rate operation. The input sample rate is equal to chip rate and the output is at symbol rate. Two rates are related by PG, processing gain.
-Title: MMSE Receiver for DS-SS in AWGN Channel Author: Panson Tantikovit Summary: An adaptive receiver for DS-SS systems MATLAB Release: R12.1 Required Products: Communications Toolbox,Signal Processing Blockset Description: This is an adaptive receiver for a direct-sequence spread spectrum (DS-SS) system over an AWGN channel. The adaptive receiver block is modified from the LMS adaptive filter block in DSP Blockset. For DS-SS signal reception, the adaptive filter needs to have multi-rate operation. The input sample rate is equal to chip rate and the output is at symbol rate. Two rates are related by PG, processing gain.
Platform: |
Size: 19456 |
Author: zzp |
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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-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
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Size: 559104 |
Author: |
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Description: 多通道IIR自适应算法仿真效果图，通过设定不同的步长、算法，明显看出波形的变化-Multi-channel IIR adaptive algorithm simulation effect diagram, by setting a different step size, algorithms, apparent changes in waveform
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Size: 2034688 |
Author: 肖颖 |
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Description: THis transceiver system simulation to display ber vs SNR. TRansceiver is about BER comparison between LMS-RLS and MLSE receiver to invers the rayleigh fading channel. The content of system is modulation, pilot adder, awgn and rayleigh fading channel, pilot removal and channel estimation and equalization by 3 method (LMS-MLSE-RLS) and demodulation.-THis is transceiver system simulation to display ber vs SNR. TRansceiver is about BER comparison between LMS-RLS and MLSE receiver to invers the rayleigh fading channel. The content of system is modulation, pilot adder, awgn and rayleigh fading channel, pilot removal and channel estimation and equalization by 3 method (LMS-MLSE-RLS) and demodulation.
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Size: 126976 |
Author: gelar |
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Description: 使用Matlab开发的自适应均衡器示例，包括LMS、NLMS、RLS等多种算法的实现-An Adoptive Channel Equalizer by Matlab. Including LMS, NLMS, RLS algorithms.
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Size: 5120 |
Author: boxer |
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Description: 使用LMS算法，对信道模型的估计应用（LMS by adian try）-Using the LMS algorithm for channel estimation applications
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Size: 1024 |
Author: watercooll |
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Description: 为解决信道中的多经效应问题，可采用LMS和RLS算法。当C/A码通过多径信道时，会产生误码。本作通过LMS和RLS算法较好的解决了这个问题。压缩文件里是一个simulink仿真，通过这个仿真不仅可以学习simulink的使用，还能较好的理解LMS和RLS算法的原理-To solve more than by the effect of the channel can be used LMS and RLS algorithm. When the C/A code by multipath channel will result in error. This for the better by LMS and RLS algorithm to solve this problem. Compressed file is a simulink simulation simulink use this simulation can not only learn, but also a better understanding of the principle of LMS and RLS algorithms
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Size: 12288 |
Author: 李 |
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Description: 为解决信道中的噪声问题，可采用LMS和RLS算法。当C/A码通过噪声信道时，会产生误码。本作通过LMS和RLS算法较好的解决了这个问题。压缩文件里是一个simulink仿真，通过这个仿真不仅可以学习simulink的使用，还能较好的理解LMS和RLS算法的原理-, LMS and RLS algorithm can be used to resolve the problem of channel noise. When the C/A code through the noise channel will result in error. This for the better by LMS and RLS algorithm to solve this problem. Compressed file is a simulink simulation simulink use this simulation can not only learn, but also a better understanding of the principle of LMS and RLS algorithms
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Size: 12288 |
Author: 李 |
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Description: 自适应均衡器的LMS算法实现及其仿真 :自适应均衡器已广泛应用于通信、雷达、声纳、控制和生物医学工程等许多领域,为克服多径衰落和信道失真引起的的码间干扰,实时跟踪移动通信信道的时变特性,笔者设计了一个基于LMS 算法的自适应线性均衡器,并通过改变步长因子Δ来分析其收敛速度和均方误差特性.
-Adaptive equalizer LMS algorithm and its simulation: adaptive equalizer has been widely used in communications, radar, sonar, control, and in many areas of biomedical engineering, to overcome multipath fading and channel distortion caused by the inter-symbol interference real-time tracking of mobile communication channel when varying characteristics, the author designed the adaptive linear equalizer based on the LMS algorithm to analyze the convergence rate and mean square error characteristics, and by changing the step size factor Δ.
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Size: 306176 |
Author: wanynall |
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Description: This paper investigates the Wiener and least
mean square (LMS) algorithms in the design of traversal tap
delay line filters for the purpose of compensating the effect of
the communication channel. The designed equalizers remove
the distortion caused by the channel from the transmitted
signal without requiring any specific model or state-space
information. The first approach is based on the a recursive
Wiener filtering procedure and is designed using the Wiener-
Hopf equation. On the other hand, the second approach uses
the LMS algorithm and investigates the effect of different
step sizes on the speed of the conversion and the accuracy of
the overall algorithm. Simulation results are presented and
both schemes are compared under different distortion levels
and signal to noise ratio(SNR) values via impulse response,
frequency response and ABER simulations.
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Size: 10759168 |
Author: nagarjun |
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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
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Size: 3072 |
Author: MUHAMMAD SHAKIL |
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Description: Aim: To equalize a QPSK signal faded by frequency selective Rayleigh Channel using LMS algorithm and to observe the scatter plot.
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Size: 13312 |
Author: Ratul Deka |
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Description: Aim: To equalize a QPSK signal faded by frequency selective Rayleigh Channel using LMS algorithm and to observe the scatter plot.
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Size: 11264 |
Author: Ratul Deka |
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