Search - LINEAR MIMO

Search - LINEAR MIMO - List

[Communication-Mobile] MIMO-OFDMChannelEstimationBasedonCombPilot DL : 0: mimo-ofdm系统基于梳状导频的信道估计，使用最小二乘法，线性内插。-mimo - ofdm system based on comb-Pilot channel estimation, the use of least squares linear interpolation.
Update : 2008-10-13 Size : 2.85kb Publisher : 尚尔博
[Communication-Mobile] MIMO_OFDM_estimation DL : 0: MIMO-OFDM信道估计，用于最小二乘法和线性最小均方估计方法的性能比较-MIMO-OFDM channel estimation for the linear least squares method and the least square method estimates Performance Comparison
Update : 2025-02-17 Size : 2kb Publisher : 周许朝
[Technology Management] Linear_receiver_interfaces_for_multiuser_MIMO_comm DL : 0: Linear receiver interfaces for multiuser MIMO communications
Update : 2025-02-17 Size : 67kb Publisher : 刘建国
[Industry research] eusipco2006presentation_ari_hottinen DL : 0: Subcarrier Allocation in a Multiuser MIMO Channel Using Linear Programming -err
Update : 2025-02-17 Size : 71kb Publisher : 刘建国
[matlab] Linear_Interpolator DL : 0: 线形内插在MIMO OFDM上的实现,包括格拉斯曼域的仿真-linear interpolation in the MIMO OFDM achieve, including Grassmannian domain simulation
Update : 2025-02-17 Size : 669kb Publisher : fuzong
[Communication-Mobile] MIMO-OFDMChannelEstimationBasedonCombPilot DL : 0: mimo-ofdm系统基于梳状导频的信道估计，使用最小二乘法，线性内插。-mimo- ofdm system based on comb-Pilot channel estimation, the use of least squares linear interpolation.
Update : 2025-02-17 Size : 3kb Publisher : 尚尔博
[Windows Develop] MIMO_Equlaization DL : 0: MIMO系统的典型zf均衡器的算法C＋＋实现。brief ZF Equalizer, i.e. Matrix inversion and multiplication block, i.e. the solution of a linear equation system.-Zf typical MIMO systems equalizer algorithm C to achieve. brief ZF Equalizer, ie Matrix inversion and multiplicationblock, ie the solution of a linear equation system.
Update : 2025-02-17 Size : 6kb Publisher : 吴昊
[matlab] QR_algrithm DL : 0: 求矩阵特征值和特征向量的算法：QR算法。用于线性方程组的求解，和反幂法算法的设计-Matrix eigenvalues and eigenvectors of the algorithm: QR algorithm. For linear equations, and anti-power-law algorithm design
Update : 2025-02-17 Size : 2kb Publisher : 赵亮
[Communication-Mobile] MIMO-Matlab DL : 0: MIMO Tool is a toolbox for MATLAB (it works fine in every version from 5.3 until 7.8) developed with the aim to offering a complete toolbox for continuous time MIMO linear systems analysis and robust control synthesis.
Update : 2025-02-17 Size : 772kb Publisher : Rafal
[matlab] zf_mmse_junheng DL : 0: mimo下行的线性预编码，分别基于ZF准则和MMSE准则。-mimo downlink linear precoding, respectively, based on ZF criteria and MMSE criterion.
Update : 2025-02-17 Size : 1kb Publisher : 常鹏飞
[Post-TeleCom sofeware systems] subspace_channel_identification_4_STBC DL : 0: 对一个使用了线性时空编码的多输入多输出系统的盲信道估计-Blind Channel estimation for MIMO systems using Linear Space time codes
Update : 2025-02-17 Size : 7kb Publisher : 水林声
[Other] junheng DL : 0: 信道均衡技术是移动通信中抗衰落的三大技术之一。均衡是用来解决由于信道的非线性和时变性引起的码间干扰的有效技术。如何有效解决码间干扰问题，具有重要的理论意义。　　　　本文在介绍自适应均衡技术的基本原理和均衡研究现状的基础上，阐述了目前几种典型的自适应均衡算法及其它们存在的一些问题。文章在传统自适应算法的基础上，提出了两种改进算法：基于RLS的自适应MIMO-DFE算法和基于分数间隔的改进CMA+SDD算法。计算机仿真结果表明，两种算法的收敛速度快，稳态误差小，均衡效果与传统算法相比都取得了明显提高。-Channel equalization in mobile communications technology is the anti-fading of the three technologies. Balance is used to solve due to channel non-linear and time-varying inter-symbol interference caused by effective techniques. How to effectively solve the inter-symbol interference problem, has important theoretical significance. This paper introduces the basic principle of adaptive equalization and balanced study of the status quo, based on the current set of several typical adaptive equalization algorithm and some of the problems of their existence. Article in the traditional adaptive algorithm based on the proposed two improved algorithms: RLS-based adaptive MIMO-DFE algorithms and interval-based scores improved CMA+ SDD algorithm. Computer simulation results show that the two kinds of convergence of the algorithm fast, steady-state error is small, compared to equilibrium results with the traditional algorithms have achieved significantly improved.
Update : 2025-02-17 Size : 41.02mb Publisher : 阿郎
[Algorithm] matlab DL : 0: The main goal of this work is to provide a unified theory of QSTBCs for four transmit antennas and one (or more) receive antennas. The thesis consists of two main parts: In the first part we analyze the QSTBCs transmission without any channel knowledge at the transmitter and in the second part we analyze transmission with QSTBCs assuming partial channel state (CSI) information at the transmitter. For both cases, the QSTBCs are studied on spatially correlated and uncorrelated frequency flat MIMO channels applying a Maximum Likelihood receivers as well as a low complexity linear Zero-Forcing receivers. The spatial correlation is modelled by the so-called Kronecker Model. Measured indoor channels are also used in our simulations to show the performance of the QSTBCs in real-world environment
Update : 2025-02-17 Size : 1kb Publisher : hammad
[matlab] Assignment DL : 0: Matlab 模拟仿真 MIMO 直线基站均匀分布蒙特卡罗仿真信道容量。-Matlab simulation MIMO linear Monte-Carlo simulation of uniformly distributed base station channel capacity.
Update : 2025-02-17 Size : 1kb Publisher : dongshaojie
[matlab] mimo_simulator DL : 0: This examples corresponds to a 2x2 system with parallel linear arrays, where the mobile moves aways from the base station, with a constant speed such that the Maximum Doppler frequency is 5 Hz. The element spacings at the base station and mobile are one lambda and 0.5 lambda, respectively. The maximum angle spread at the base station is 4 degrees, whereas isotropic scattering is assumed around the mobile. The length of the simulated MIMO channel is 5 seconds, and any two adjacent samples are spaced by 0.01 seconds. For ensemble averaging, 90 realizations of the MIMO channel are generated.-This examples corresponds to a 2x2 system with parallel linear arrays, where the mobile moves aways from the base station, with a constant speed such that the Maximum Doppler frequency is 5 Hz. The element spacings at the base station and mobile are one lambda and 0.5 lambda, respectively. The maximum angle spread at the base station is 4 degrees, whereas isotropic scattering is assumed around the mobile. The length of the simulated MIMO channel is 5 seconds, and any two adjacent samples are spaced by 0.01 seconds. For ensemble averaging , 90 realizations of the MIMO channel are generated.
Update : 2025-02-17 Size : 674kb Publisher : jerry
[matlab] multi-usermimo DL : 0: 多用户mimo的另一种线性预编码，区别于原有的迫零和最大信噪比发射-Another multi-user mimo linear pre-coding, different from the original force and maximum signal to noise ratio of zero emission
Update : 2025-02-17 Size : 64kb Publisher : 许丰艺
[Windows Develop] Multivariable_Feedback_Control DL : 0: Multivariable Feedback Control (1)Review of Linear system theory (2)lineat MIMO feedback systems (3)Performance and robustness (4)Decoupling control-Multivariable Feedback Control (1) Review of Linear system theory (2) lineat MIMO feedback systems (3) Performance and robustness (4) Decoupling control
Update : 2025-02-17 Size : 3.36mb Publisher : rex
[matlab] OFDM_pilot_ch_est DL : 0: OFDM信号的导频的插入包含LS,LMMSE,线性插值等-OFDM pilot signal insertion include LS, LMMSE, linear interpolation
Update : 2025-02-17 Size : 28kb Publisher : 程程序
[Communication-Mobile] multicellMIMO_jsactutorial DL : 0: Multi-Cell MIMO Cooperative Networks: A New Look at Interference
Update : 2025-02-17 Size : 1.08mb Publisher : kassem00
[Communication-Mobile] FE4A65BCd01 DL : 0: Error Performance of Ultrawideband MIMO Spatial Multiplexing Systems Abstract—Multiple-input multiple-output spatial multiplexing (MIMO-SM) ultrawideband (UWB) systems with orthogonal frequency division multiplexing (OFDM) signaling are developed. It is shown that the proposed linear and nonlinear receivers offer substantial spatial diversity beside data rate enhancement.
Update : 2025-02-17 Size : 63kb Publisher : sasa

« 12 3 4 5 »