是MULTIUSER detection 這本書的習(xí)題解答, 很有用的書.
上傳時間： 2015-08-11
上傳用戶：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.
標(biāo)簽： MULTIUSER detection adaptive subspace
上傳時間： 2015-09-07
上傳用戶：xieguodong1234
Linear receiver interfaces for MULTIUSER MIMO communications
標(biāo)簽： communications interfaces MULTIUSER receiver
上傳時間： 2015-09-27
上傳用戶：gyq
Subcarrier Allocation in a MULTIUSER MIMO Channel Using Linear Programming
標(biāo)簽： Programming Subcarrier Allocation MULTIUSER
上傳時間： 2013-12-17
上傳用戶：yzhl1988
Blending inheritance algorithm in CDMA MULTIUSER examinationtechnology applied research
標(biāo)簽： examinationtechnology inheritance algorithm MULTIUSER
上傳時間： 2015-10-13
上傳用戶：
adaptive mmse space-time MULTIUSER detection algorithm.m是自適應(yīng)MMSE空時多用戶檢測算法 dec MULTIUSER.m是空時解相關(guān)多用戶檢測算法 cd MULTIUSER.m是空時匹配濾波器 ber.m是誤碼率計算 conver.m是空時PN碼產(chǎn)生文件
標(biāo)簽： MULTIUSER space-time detection algorithm
上傳時間： 2015-10-29
上傳用戶：來茴
An Ant Colony Algorithm for MULTIUSER Detection in Wireless Communication Systems
標(biāo)簽： Communication Algorithm MULTIUSER Detection
上傳時間： 2016-03-18
上傳用戶：koulian
Direct Blind MULTIUSER Detection for CDMA in Multipath without Channel Estimation
標(biāo)簽： Estimation Detection MULTIUSER Multipath
上傳時間： 2014-01-12
上傳用戶：nanfeicui
一篇同學(xué)的碩士論文 --OFDMA Ressource Allocation using MULTIUSER Constant-Power Waterfilling. 關(guān)于OFDMA 資源分配的算法 用到凸優(yōu)化(convex optimization)的理論 證明對多用戶的Waterfilling算法可以實現(xiàn)優(yōu)化原則
標(biāo)簽： OFDMA Constant-Power Waterfilling Allocation
上傳時間： 2014-08-22
上傳用戶：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.
標(biāo)簽： mean-square MULTIUSER receiver project
上傳時間： 2014-11-21
上傳用戶：ywqaxiwang
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