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 Platform: |
Size: 27648 |
Author:ysy |
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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. Platform: |
Size: 147456 |
Author:prasad |
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Description: 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-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 Platform: |
Size: 1024 |
Author:wangyanli |
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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 the DS-spread spectrum system, the noise is additive white Gaussian noise, the traditional single-user detection, the linear decorrelating multiuser detector and minimum mean-square error multiuser detection performance comparison Platform: |
Size: 4096 |
Author:zxy |
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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 |
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Description: it is a code in MATLAB for calculation of bit error ratio vs signal to noise ratio , for multiuser code division multiple access .. usually in any communication system calculation of BER is very important to know the performance of system .. so in this program multiuser CDMA system is used ,, spreading is done using HADAMARD matrix .. or WALSH code .. and BER vs SIGNAL to NOISE ratio graph is computed-it is a code in MATLAB for calculation of bit error ratio vs signal to noise ratio , for multiuser code division multiple access .. usually in any communication system calculation of BER is very important to know the performance of system .. so in this program multiuser CDMA system is used ,, spreading is done using HADAMARD matrix .. or WALSH code .. and BER vs SIGNAL to NOISE ratio graph is computed Platform: |
Size: 2048 |
Author:hassan |
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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 |
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Description: 考虑了用LMS和RLS算法实现码分多址（CDMA）系统的盲多用户检测matlab仿真。由此可以加深对这方面知识的理解-Consider the use of LMS and RLS algorithm code division multiple access (CDMA) system, blind multiuser detection matlab simulation. It can deepen the understanding of knowledge in this area Platform: |
Size: 1024 |
Author:王会彦 |
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Description: This course provides advanced knowledge of wideband wireless communication
techniques. It include the areas of diversity: Time diversity, Space diversity, Frequency
TELE9753 Advanced Wireless Communications 2
diversity; Wideband CDMA systems, Wideband OFDM systems, antenna arrays, MIMO
channel modeling in the angular domain and statistical models, smart antennas
techniques, multiple-input/multiple-output communications systems, spatial multiplexing,
space-time processing and coding; and multiuser detection and receiver designs, multiple
access and interference management, opportunistic communication, multiuser
water filling. Platform: |
Size: 92160 |
Author:Khan17
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Search - cdma multiuser matlab