mimo仿真mimo仿真mimo仿真mimo仿真
標簽： mimo仿真
上傳時間： 2015-12-26
上傳用戶：dx041129
MIMO技術是理解通信收發原理，通信系統設計，很有幫助的。它已經成為當今乃至今后很多年內的主流物理層技術。
上傳時間： 2016-02-02
上傳用戶：愛學習的松松
資料仿真了瑞利信道下4*4 MIMO的ergodic capacity, 解碼端，MMSE接收端采用SIC和不采用SIC的仿真 I) Achievable capacity vs SNR for all schemes II) Ratio of Acvhievable capacity of each receiver to the MIMO capacity
標簽： MIMO 信道容量
上傳時間： 2016-03-22
上傳用戶：1551148890
這是一篇有關于mimo 雷達設計的信道估計論文，文章詳細闡述了基于訓練序列的信道估計。
上傳時間： 2018-05-10
上傳用戶：huoliquankai
面向5G的大規模MIMO預編碼算法比較研究，詳細介紹5G-mimo算法實現原理和結構
上傳時間： 2019-08-28
上傳用戶：mrhlt
不同于傳統秘鑰加密技術，無線物理層安全理論技術是根據主竊信道傳輸速率的差值等特征信息來從信息論的角度降低竊聽者獲取的有用信息量。 在理想的竊聽信道模型中，只要保密容量(主竊聽信道容量差)大于0，系統就可以達到保密通信。%在引入信號衰落之后，保密通信只以一定的概率實現。 本文通過建立中斷概率模型來對通信系統的保密性進行仿真。 本文主要研究性能中的保密速率和主竊信道信噪比這兩個指標。在系統所需保密速率是定值的條件下，主竊信道信噪比之差越低，通信的保密性越好。通過采用MIMO技術中的波速成形技術，合法信道中的信道容量可以被大幅度提高，進而大幅度降低中斷概率。環形干擾技術不僅可以降低竊聽信道信噪比，而且對主信道的傳輸速率不會產生負面影響。經過使用Alamouti編碼技術，可以很好的解決由于天線數量增多而導致譯碼復雜度增加的問題。
上傳時間： 2020-03-17
上傳用戶：成成愛吃魚
Employing multiple transmit and receive antennas, namely using multi-input multi-output (MIMO) systems, has proven to be a major breakthrough in providing reliable wireless communication links. Since their invention in the mid-1990s, transmit diversity, achieved through space-time coding, and spatial multiplexing schemes have been the focus of much research in the area of wireless communications.
標簽： Communication Systems Coding MIMO for
上傳時間： 2020-05-26
上傳用戶：shancjb
In order to improve the spectral efficiency in wireless communications, multiple antennas are employed at both transmitter and receiver sides, where the resulting system is referred to as the multiple-input multiple-output (MIMO) system. In MIMO systems, it is usually requiredto detect signals jointly as multiple signals are transmitted through multiple signal paths between the transmitter and the receiver. This joint detection becomes the MIMO detection.
標簽： Complexity Detection MIMO Low
上傳時間： 2020-05-27
上傳用戶：shancjb
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
Due to the asymmetry between the amount of data traffic in the downlink and uplink direction of nowadays and future wireless networks, a proper design of the transceivers in the broadcast channel is inevitable in order to satisfy the users’ demands on data rate and transmission quality. This book deals with the optimi- zation-based joint design of the transmit and receive filters in a MIMO broadcast channel in which the user terminals may be equipped with several antenna ele- ments.
上傳時間： 2020-05-28
上傳用戶：shancjb
