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Description: adaptive mmse space-time multiuser detection algorithm.m是自适应MMSE空时多用户检测算法 dec multiuser.m是空时解相关多用户检测算法 cd multiuser.m是空时匹配滤波器 ber.m是误码率计算 conver.m是空时PN码产生文件-adaptive space-time multiuser detec tion is algorithm.m MMSE space-time adaptive multi-user detection algorithm dec multi user.m solution when space is multi-user detection algorithm cd multiuser.m was empty when matched filter ber.m error rate is calculated conver.m was empty at the PN code generated
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Size: 3351 |
Author: 陈永强 |
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Description: Low-Feedback-Rate and Low-Complexity Downlink Multiuser MIMO Systems
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Size: 526675 |
Author: 252364193@qq.com |
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Description: 描述DSCDMA多用户系统在AWGN信道下的误码率-Describes the DSCDMA multiuser system under error rate of the AWGN channel
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Size: 2048 |
Author: 谭汉洪 |
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Description: CDMA多用户检测的MATLAB程序
内有详细的CDMA建模说明文档和源程序
-CDMA multi-user detection procedures within the MATLAB detailed modeling of CDMA source code and documentation
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Size: 94208 |
Author: 苏翔 |
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Description:
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Size: 93184 |
Author: 苏翔 |
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Description: 是multiuser detection 这本书的习题解答,
很有用的书.-is multiuser detection of this book to answer the questions and useful book.
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Size: 5479424 |
Author: Yaya |
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Description: A new blind adaptive multiuser detection scheme based on a hybrid of Kalman filter and
subspace estimation is proposed. It is shown that the detector can be expressed as an anchored
signal in the signal subspace and the coefficients can be estimated by the Kalman filter using only
the signature waveform and the timing of the desired user.-A new blind adaptive multiuser detection s cheme based on a hybrid of the Kalman filter and subs pace estimation is proposed. It is shown that th e detector can be expressed as an anchored signa l in the signal subspace and the coefficients ca n be estimated by the Kalman filter using only th e signature waveform and the timing of the desir ed user.
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Size: 389120 |
Author: rifer |
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Description: Linear receiver interfaces for multiuser MIMO communications
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Size: 68608 |
Author: 刘建国 |
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Description: Subcarrier Allocation in a Multiuser
MIMO Channel Using Linear
Programming
-err
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Size: 72704 |
Author: 刘建国 |
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Description: adaptive mmse space-time multiuser detection algorithm.m是自适应MMSE空时多用户检测算法 dec multiuser.m是空时解相关多用户检测算法 cd multiuser.m是空时匹配滤波器 ber.m是误码率计算 conver.m是空时PN码产生文件-adaptive space-time multiuser detec tion is algorithm.m MMSE space-time adaptive multi-user detection algorithm dec multi user.m solution when space is multi-user detection algorithm cd multiuser.m was empty when matched filter ber.m error rate is calculated conver.m was empty at the PN code generated
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Size: 3072 |
Author: 陈永强 |
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Description: 在DS-spread spectrum系统中,噪声为加性高斯白噪声,传统单用户检测,线性解相关多用户检测和最小均方误差多用户检测的性能比较-In DS-spread spectrum system, the noise is additive white Gaussian noise, the traditional single-user detection, the linear decorrelating multiuser detection and MMSE Multiuser Detection Performance Comparison
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Size: 3072 |
Author: sunxu |
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Description: CDMA盲多用户检测 matlab源程序 直接执行即可 保证正确-CDMA blind multiuser detection matlab source directly to ensure that the correct implementation of
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Size: 1024 |
Author: xiaojing |
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Description: 多用户环境下的检测问题，目前的研究热点！-Multi-user environment detection issues, the current study hotspot!
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Size: 4652032 |
Author: Liang |
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Description: Direct Blind Multiuser Detection for CDMA in
Multipath without Channel Estimation
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Size: 214016 |
Author: hesi |
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Description: 用BP神经网络实现的第三代移动通信CDMA多用户检测算法-Using BP neural network to achieve the third generation of mobile communication CDMA multiuser detection algorithm
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Size: 27648 |
Author: ysy |
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Description: 恒模盲多用户检测算法的FPGA实现,很不错的文章-Constant modulus algorithm for blind multiuser detection on the FPGA
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Size: 4472832 |
Author: 刘英超 |
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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.
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Size: 147456 |
Author: prasad |
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Description: 认知无线电能有效缓解无线电频谱资源匮乏问题，正交频分复用（OFDM）非常适合认知无线电系统。动态频谱资源分配是认知系统的一项重要功能。本文的目标就是最小化成本函数，这个函数考虑到主用户以及次用户的干扰功率。-Cognitive radio (CR) is a promising concept for improving the utilization of scarce radio spectrum resources. Orthogonal frequency division multiplexing (OFDM) is regarded as a technology which is well-matched for CR systems. Dynamic resource allocation is an important task in such systems. A novel resource allocation algorithm for multiuser OFDM cognitive radio system is presented in this paper. The objective is to minimize a cost function which takes into account the interference
power experienced by the primary user as well as the base station transmit power for secondary users given minimum bit rate requirements for each secondary user.
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Size: 201728 |
Author: 洪波 |
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Description: From Single User to Multiuser Communications Shifting the MIMO Paradigm
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Size: 196608 |
Author: Muhammad Omer |
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Description: 基于子空间的盲多用户检测，matlab仿真例程-Subspace-based blind multiuser detection, matlab simulation routines
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Size: 1024 |
Author: 张新华 |
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