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[matlabmmse_mpsk

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
Platform: | Size: 8192 | Author: 张非 | Hits:

[Speech/Voice recognition/combine接收机的MATLAB仿真程序

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 | Hits:

[CommunicationMMSE_Receiver_for_DS-SS_in_AWGN_Channel

Description: Matlab源程序:MMSE Receiver for DS-SS in AWGN Channel!希望对大家有帮助。-Matlab source : MMSE Receiver for DS-SS in AWGN Channel! We want to help.
Platform: | Size: 8192 | Author: | Hits:

[CommunicationRAKE_receiver_for_DS-SS_systems

Description: RAKE接收机Matlab仿真源程序,希望对大家有用!-RAKE receiver Matlab simulation source code, useful for all!
Platform: | Size: 11264 | Author: | Hits:

[Program docUWB

Description: :首先介绍了DS--UWB系统的的发射与接收模型,然后分析了利用滑动相关法对信道进行估讣,并巾此给出 了不同RAKE接收机RAKE合成权系数选取方案。对接收机采用最大比(MRC)、最小均方误差(MM SE)及带均衡 器的(MRC)合并系数选取的误码性能进行了仿真和对比。结果表明了带均衡器的MRC—RAKE只用较少的分支 就可以达到接收性能明显优于MMSE—RAKE的程度。尤其在信噪比比较大时。这种优势更加明显。-: First of all, the introduction of the DS UWB system model of the launch and reception, and then analyzed using the sliding correlation method for estimation of channel obituary, and towels, this gives the RAKE receiver RAKE synthesis of different weights to select the program. On the receiver using maximal ratio (MRC), minimum mean square error (MM SE) and band equalizer (MRC) combined coefficient selected BER simulation and comparison. The results show that the equalizer with MRC-RAKE only with fewer branches on the receiver performance can be achieved significantly better than MMSE-RAKE level. Particularly in the relatively large signal to noise ratio. This advantage becomes even more evident.
Platform: | Size: 151552 | Author: 季昀 | Hits:

[Communication-Mobilemmsemultitest_dscdma

Description: 本程序为CDMA系统中基于MMSE的多用户检测技术,供有相关人士下载-This procedure for the CDMA system based on the MMSE multi-user detection techniques for those who have related downloads
Platform: | Size: 1024 | Author: lala510 | Hits:

[Communication-Mobilewirelesscomm

Description: In this project we analyze and design the minimum mean-square error (MMSE) multiuser receiver for uniformly quantized synchronous code division multiple access (CDMA) signals in additive white Gaussian noise (AWGN) channels.This project is mainly based on the representation of uniform quantizer by gain plus additive noise model. Based on this model, we derive the weight vector and the output signal-to-interference ratio (SIR) of the MMSE receiver. The effects of quantization on the MMSE receiver performance is characterized in a single parameter named 鈥漞quivalent noise variance鈥? The optimal quantizer stepsize which maximizes the MMSE receiver output SNR is also determined.-In this project we analyze and design the minimum mean-square error (MMSE) multiuser receiver for uniformly quantized synchronous code division multiple access (CDMA) signals in additive white Gaussian noise (AWGN) channels.This project is mainly based on the representation of uniform quantizer by gain plus additive noise model. Based on this model, we derive the weight vector and the output signal-to-interference ratio (SIR) of the MMSE receiver. The effects of quantization on the MMSE receiver performance is characterized in a single parameter named 鈥漞quivalent noise variance鈥? The optimal quantizer stepsize which maximizes the MMSE receiver output SNR is also determined.
Platform: | Size: 147456 | Author: prasad | Hits:

[OtherMMSE-MUD

Description: 改算法描述了基于最小均方误差的多用户信号检测-MMSE,MUD,CDMA
Platform: | Size: 1024 | Author: 小民 | Hits:

[Program docl11-demo1

Description: Introduce the Multiuser Detection (MUD) for DS-CDMA system 􀂄 Give two MUD methods for DS-CDMA system –Decorrelating MUD –Subspace MMSE MUD 􀂄 Compare them with traditional decorrelating detection 􀂄 Study the BER vs. SNR performance
Platform: | Size: 146432 | Author: almamori | Hits:

[Othermultiuser

Description: 本文针对并行干扰抵消检测器的不足之处,提出了改进的并行干扰抵消检测算法——基于多项式展开的并行干扰抵消多用户检测算法。该算法将多项式展开检测器作为并行干扰抵消检测器第一级的数据估计值,以提高检测可靠性。通过仿真实验,首先验证了多项式展开检测器的性能。然后比较改进算法与传统检测器的性能,验证改进算法的系统性能得到明显改善;并与并行干扰抵消检测器、解相关检测器和MMSE检测器相比较,验 证得到该改进算法的性能也有不同程度的改善。 -this paper discusses the principle and performance of the conventional detector and the parallel interference cancellation(PIC)detector separately.Since the conventional detector take MAI only as the background noise without considering the existence of the other users,the existence of MAI has a significant impact on the performance of CDMA systems.Each stage of PIC detector utilizes the data estimates of the initial or previous stage,produces a new set of MAI estimates,and then subtracts out all of the MAI for each user in parallel.Through Monte Carlo simulation in different scenarios,the results illustrate the influence of MAI in conventional CDMA ystems.Theexperimental results show PIC detector can effectively eliminate MAI andimprove the system BER.
Platform: | Size: 571392 | Author: bluels123 | Hits:

[Communication-Mobilecdma_mmse

Description: DS-CDMA的MMSE算法程序,给出了不同信噪比下的BER性能比仿真曲线。-DS-CDMA of the MMSE algorithm program are given under different signal to noise ratio curve of BER performance than emulation.
Platform: | Size: 2048 | Author: 杨俊炜 | Hits:

[Program docSpectral-Efficiency-of-MC-CDMA-Linear-and-Non-Lin

Description: This paper analyzed the spectral efficiency (total channel capacity per subband) of randomly-spread synchronous multicarrier code-division multiple-access (MCCDMA) channel subject to frequency-selective fading in the asymptotic regime of number of users and bandwidth going to infinity with a constant ratio for uplink and downlink. The following receivers are analyzed in this paper: a) jointly optimum receiver, b) linear MMSE receiver, c) decorrelator, and d) single-user matched filter.
Platform: | Size: 145408 | Author: sh3e | Hits:

[Industry researchmmse

Description: 直接序列扩展频谱码分多址条件下最多似然估计多用户检测资料-MMSE Linear Mulltiuser detection for DS-CDMA
Platform: | Size: 352256 | Author: 罗兰 | Hits:

[matlabMMSE

Description: 以BPSK调制方式的DS-CDMA,通过AWGN信道,并以MMSE detection来进行detect所得到的的BER特性图-The BER performance of BPSK for DS-CDMA over AWGN channel, detected by MMSE detection
Platform: | Size: 5120 | Author: 俞骥杰 | Hits:

[Documents1-comp

Description: In this paper, we investigate blind channel estimation for Multiple Input Multiple Output (MIMO) multi-carrier CDMA (MC-CDMA) systems in the uplink scenario. An Autocorrelation Contribution Matrix (ACM) method is proposed in comparison with the subspace approach. Using only second order statistics, the ACM approach shows similar performance to that of subspace based approach. The added advantage is that it eliminates the need for rank estimation and noise power calculation as in subspace technique. In particular we incorporate blind channel estimation with Layered Space Frequency Equalisation (LSFE),which employs successive interference cancellation and therefore provides significant performance improvement over the conventional linear minimum mean square error (MMSE) based approach.
Platform: | Size: 109568 | Author: Casper_z | Hits:

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