是MULTIuser detection 这本书的习题解答, 很有用的书.
上传时间： 2015-08-11
上传用户：h886166
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.
标签： MULTIuser detection adaptive subspace
上传时间： 2015-09-07
上传用户：xieguodong1234
Linear receiver interfaces for MULTIuser MIMO communications
标签： communications interfaces MULTIuser receiver
上传时间： 2015-09-27
上传用户：gyq
Subcarrier Allocation in a MULTIuser MIMO Channel Using Linear Programming
标签： Programming Subcarrier Allocation MULTIuser
上传时间： 2013-12-17
上传用户：yzhl1988
Blending inheritance algorithm in CDMA MULTIuser examinationtechnology applied research
标签： examinationtechnology inheritance algorithm MULTIuser
上传时间： 2015-10-13
上传用户：
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
标签： MULTIuser space-time detection algorithm
上传时间： 2015-10-29
上传用户：来茴
An Ant Colony Algorithm for MULTIuser Detection in Wireless Communication Systems
标签： Communication Algorithm MULTIuser Detection
上传时间： 2016-03-18
上传用户：koulian
Direct Blind MULTIuser Detection for CDMA in Multipath without Channel Estimation
标签： Estimation Detection MULTIuser Multipath
上传时间： 2014-01-12
上传用户：nanfeicui
一篇同学的硕士论文 --OFDMA Ressource Allocation using MULTIuser Constant-Power Waterfilling. 关于OFDMA 资源分配的算法 用到凸优化(convex optimization)的理论 证明对多用户的Waterfilling算法可以实现优化原则
标签： OFDMA Constant-Power Waterfilling Allocation
上传时间： 2014-08-22
上传用户：GHF
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.
标签： mean-square MULTIuser receiver project
上传时间： 2014-11-21
上传用户：ywqaxiwang
