MIMO-OFDM is a key technology for next-generation cellular communications (3GPP-LTE, Mobile WiMAX, IMT-Advanced) as well as wireless LAN (IEEE 802.11a, IEEE 802.11n), wireless PAN (MB-OFDM), and broadcasting (DAB, DVB, DMB). This book provides a comprehensive introduction to the basic theory and practice of wireless channel modeling, OFDM, and MIMO, with MATLAB ? programs to simulate the underlying techniques on MIMO-OFDMsystems.Thisbookisprimarilydesignedforengineersandresearcherswhoare interested in learning various MIMO-OFDM techniques and applying them to wireless communications.
標簽： Communications MIMO-OFDM Wireless MATLAB with
上傳時間： 2020-05-28
上傳用戶：shancjb
This a Bayesian ICA algorithm for the linear instantaneous mixing model with additive Gaussian noise [1]. The inference problem is solved by ML-II, i.e. the sources are found by integration over the source posterior and the noise covariance and mixing matrix are found by maximization of the marginal likelihood [1]. The sufficient statistics are estimated by either variational mean field theory with the linear response correction or by adaptive TAP mean field theory [2,3]. The mean field equations are solved by a belief propagation method [4] or sequential iteration. The computational complexity is N M^3, where N is the number of time samples and M the number of sources.
標簽： instantaneous algorithm Bayesian Gaussian
上傳時間： 2013-12-19
上傳用戶：jjj0202
OFDM-MIMO收發(fā)系統(tǒng)，The simulator GUI is started with command ui_start in Matlab command window.
上傳時間： 2014-01-18
上傳用戶：baitouyu
This model is just testing an idea of MIMO, which IEEE802.11n will have. But I havo not seen the standard, I tried to make it with 11a. Actually this model would not work in real world, because the preambles were not designed to solve the MIMO feature. But this model may be useful to get some idea to start to design a PHY with MIMO.
標簽： testing 802.11 model which
上傳時間： 2013-12-25
上傳用戶：jeffery
OFDM-MIMO收發(fā)系統(tǒng)，The simulator GUI is started with command ui_start in Matlab command window.-,matlab,通訊編程/Communication
上傳時間： 2013-12-11
上傳用戶：libenshu01
這是CISS會議上發(fā)表的著名論文“Tensor Canonical decomposition based method for blind identification of MIMO system with 3-input 2-output case”的源程序，主要是講基于張量規(guī)范分解的多天線系統(tǒng)的忙識別問題，里邊包含了相應的文章，可以一起對照著看。
標簽： identification decomposition Canonical Tensor
上傳時間： 2015-10-21
上傳用戶：牛津鞋
Real-time Control Applications for use with MATLABâ · Digital Servo Workshop · Digital Pendulum Control System · Modular Servo Workshop · Magnetic Levitation System · Twin Rotor MIMO System
標簽： Digital Applications Real-time Workshop
上傳時間： 2013-12-01
上傳用戶：yuchunhai1990
一種常用空分復用的MIMO系統(tǒng)，v-blast系統(tǒng)的各種檢測算法：ML，MMSE,ZF,以及采用迫零的連續(xù)干擾消除檢測算法
上傳時間： 2013-12-13
上傳用戶：源弋弋
可實現(xiàn)MIMO-OFDM系統(tǒng)的adaptive_blind功能，並進行了詳細的測試
標簽： adaptive_blind MIMO-OFDM 系統(tǒng)
上傳時間： 2013-12-23
上傳用戶：225588
When we started thinking about writing the first edition of this book a few years ago, we had been working together for more than five years on the borderline between propagation and signal processing. Therefore, it is not surprising that this book deals with propagation models and design tools for MIMO wireless communications. Yet, this book should constitute more than a simple combination of these two domains. It hopefully conveys our integrated understanding of MIMO, which results from endless controversial discussions on various multi-antenna related issues, as well as various interactions with numerous colleagues. Obviously, this area of technology is so large that it is beyond our aim to cover all aspects in details. Rather, our goal is to provide researchers, R&D engineers and graduate students with a comprehensive coverage of radio propagation models and space–time signal processing techniques for multi-antenna, multi-user and multi-cell networks.
上傳時間： 2020-05-28
上傳用戶：shancjb
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