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Description: 多天线输入多输出技术正交频分复用技术结合,利用matlab仿真其不同信道估计-multi-antenna MIMO technology Orthogonal Frequency Division Multiplexing combination Matlab simulation using different channel estimation
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Size: 2047 |
Author: 刘华 |
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Description: ofdm信道特性
Channel transmission simulator
Channel transmission simulator
％
％ inputs:
％ sig2 - noise variance
％ Mt - number of Tx antennas
％ Mr - number of Rx antennas
％ x - vector of complex input symbols (for MIMO, this is a matrix, where each column
％ is the value of the antenna outputs at a single time instance)
％ H - frequency selective channel - represented in block-Toeplitz form for MIMO transmission
％ N - number of symbols transmitted in OFDM frame
％
％ outputs:
％ y - vector of channel outputs (matrix for MIMO again, just like x matrix)
％ create noise vector sequence (each row is a different antenna, each column is a
％ different time index) note: noise is spatially and temporally white
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Size: 812 |
Author: sunxu |
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Description: ofdm同步分析，同步过程，针对同步学习者，不是本人写的-OFDM synchronization analysis, synchronization process, in view of simultaneous learners, not my writing
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Size: 93184 |
Author: Aries |
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Description: Learn about Ultra-wideband (UWB) transmission - the most talked about application in wireless communications. UWB wireless communication is a revolutionary technology for transmitting large amounts of digital data over a wide spectrum of frequency bands with very low power for a short distance. This exciting new text covers the fundamental aspects of UWB wireless communications systems for short-range communications. It also focuses on more advanced information about networks and applications. Chapters include: Radio Propagation and Large Scale Variations, Pulse Propagation and Channel Modelling, MIMO (Multiple Input, Multiple Output) RF Subsystems and Ad Hoc Networks.
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Size: 5261312 |
Author: kinomira |
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Description: Euler方法 用C语言实现，并求解常微分方程组-The m framework appropriately generalizes notions such as gain margin, phase
margin, disturbance attenuation, tracking, and noise rejection into a common
framework suitable for analysis and design, in both single-loop and multiloop
feedback systems. Even when working with single-loop feedback systems, some
multi-input, multi-output (MIMO) systems arise during the analysis. Hence, a
unified framework to deal with MIMO linear systems is important, with full
support for both the time and frequency domain. m-Tools provides the
capability to build complex interconnections (such as cascade, parallel, and
feedback connections), compute properties (such as poles and zeros), calculate
time and frequency responses, manipulate these responses (FFT for the time
domain signals, Bode analysis for the frequency domain functions), and plot
results. m-Tools supports two data types in addition to the standard matrices:
SYSTEM matrices for state-space realizations
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Size: 1024 |
Author: 落思 |
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Description: 本文对MIMO技术中的信道估计、空时编码和单载波频域均衡技术（SC-FDE）及其在FPGA上的实现进行了深入的研究-In this paper, MIMO channel estimation techniques, space-time coding and single-carrier frequency domain equalization (SC-FDE) and its implementation on FPGA-depth study carried out
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Size: 1149952 |
Author: w |
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Description: Universal Space-Time-Frequency Block Codes Design for the
Multiband MIMO-OFDM Systems
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Size: 103424 |
Author: Bhasker gupta |
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Description: 本书是“移动通信前沿技术系列”之一，全书共分18个章节，主要对协作通信及网络知识作了介绍，具体内容包括空时分集和编码、空时频分集与空时频编码、中继信道及协议、单中继协作通信、多节点协作通信等。全书内容分为三部分，第一部分回顾传统的MIMO系统，介绍空间、时间、频率分集的概念。第二部分主要考虑协作通信物理层的关键问题，并对其提出了行之有效的解决方案，比如针对协作通信的分布式特点，提出分布式空时(频)码；针对协作通信的频谱效率问题，提出了新颖和有效的协作方案。第三部分介绍协作通信对物理层之上的MAC层、网络层及应用层产生的影响，内容涉及如何协作路由，如何通过协作使网络覆盖范围增大，如何延长网络寿命等。-This book is one of the "cutting edge mobile communication technology series". The book is divided into 18 chapters, mainly on cooperative communications and network knowledge and specific content including the empty hours of collection and coding, space-time-frequency diversity and space-time frequency coding, relay channel and protocols, single-relay cooperative communication, multi-node cooperative communications.
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Size: 4773888 |
Author: 郑永钊 |
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Description: 3GPP LTE关键技术浅析，LTE 改进并增强了空中接口技术，采用 OFDM 及 MIMO 技术作为其无线网络演进的唯一标准。 该文对 OFDM 技术及 MIMO 技术进行了分析，最后提出将OFDM 技术与 MIMO 技术相结合，从而消除由频率选择性衰落带来的影响，达到信息的高速和高可靠性传输。-The key technology of 3GPP LTE, LTE air interface improvements and enhanced technology, the use of OFDM and MIMO technology as the sole criterion for the evolution of wireless networks. This paper MIMO OFDM technology and analysis techniques, and finally proposed technology and MIMO OFDM technology, which eliminates the impact of frequency selective fading, to high-speed and high reliability of information transmission.
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Size: 186368 |
Author: wanglong |
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Description: 基于期望最大化(EM)的最大后验信道估计算法(MAP)在高信噪比(SNR)下将很难获得较低的估计误差,并且,对于导频辅助的MIMO-OFDM系统,OFDM符号的数据传输效率随着发送天线的增加而明显下降.为改善这两种缺陷,引入一种等效的信号模型来改善高SNR下的估计性能 在相邻多个OFDM符号内使用相移正交导频序列和联合估计来提高系统的数据传输效率和估计性能 根据角域内信道间的独立性来减小噪声对估计的影响.通过仿真实验可知,所提算法具有更小的估计误差和更高的数据传输效率.-Maximum a posteriori(MAP) channel estimation algorithm usually uses expectation maximum(EM) algorithm to decrease the high computation.However,this kind of operation has a difficulty in obtaining ideal estimation performance at high signal to noise ratio(SNR) because of the convergent feature of EM algorithm.In addition,for pilot-based multiple-input multiple-output with orthogonal frequency division multiplexing(MIMO-OFDM) systems,data transmission efficiency of OFDM symbol will be reduced with the increas...
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Size: 134144 |
Author: 王睿 |
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Description: 针对MIMO-OFDM系统中期望最大化(EM)信道估计算法在高信噪比(SNR)下带来的误差地板(EF)现象,且OFDM符号的数据传输效率随发射天线数的增加而明显降低,提出一种改进的高效EM信道估计算法。该算法首先引入一种准确的等效信号模型并推导出一种修正的EM算法,改善了EM算法在高SNR下的性能 在多个OFDM间利用相位正交导频序列来提高数据传输效率,同时进行联合信道估计以提高估计性能。仿真实验验证了所提算法具有更高的信道估计性能和更高的数据传输效率。-For multiple-input multiple-output with orthogonal frequency division multiplexing(MIMO-OFDM) systems,the error floor(EF) phenomenon at high signal noise rate(SNR) was induced by the expectation maximum(EM) channel estimation algorithm.In addition,the data transmission efficiency was declined obviously with the increasing number of transmit antennas.According to these problems,an improved and efficient EM channel estimation algorithm was pro-posed.Firstly,an accurate and equivalent signal model was introduc...
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Size: 788480 |
Author: 王睿 |
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Description: 资源分配是认知无线电的核心问题之一。MIMO 认知无线电系统和单天线系统相比，不仅能获取频率、时域信息，还能获取空域、码域信息，在资源分配中有效的利用这些信息对进一步提高无线通信的频谱利用率具有重大意义。
-Allocation of resources is one of the core issue of the MIMO cognitive radio.
MIMO cognitive radio system and the single antenna system, expansion of the null
frequency of multi-dimensional information, the information provided by the utilization system of resource allocation can improve system performance.
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Size: 776192 |
Author: zzz |
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Description: MU-MIMO is widely considered a key technology
for system capacity improvement in modern
wireless networks. In contrast to
SU-MIMO, where the spatial multiplexing gain
is confined to a single user, MU-MIMO allows
multiple users to be co-scheduled on the same
time-frequency resources to exploit this gain
among two or more UE units. This is particularly
beneficial as high-rank SU-MIMO transmission
is often limited by the number of
antennas and antenna design constraints at the
user end, whereas high-rank transmission using
MU-MIMO is more feasible due to the scattered
user distribution.
It is well known that the information theoretic
optimal MU-MIMO scheme is dirty paper
coding (DPC), which unfortunately is a nonlinear/
non-causal beamforming scheme and therefore
unrealistic in real-life applications. From a
practical deployment point of view, the most
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Size: 407552 |
Author: nebiyu |
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Description: You can get a very accurate amplitude, frequency, phase estimation, Including Deng's correlation, absolute correlation, correlation of slope, improved absolute correlation, Since writing the curvature calculation function.
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Size: 151552 |
Author: faogiumaobun
|
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Description: Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Mathematics is part of the subspace, Code, there are very complete notes and explanation.
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Size: 150528 |
Author: 付锋战
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Description: In this paper, we investigate blind channel estimation for Multiple Input Multiple Output (MIMO) multi-carrier
CDMA (MC-CDMA) systems in the uplink scenario. An Autocorrelation Contribution Matrix (ACM) method is proposed in
comparison with the subspace approach. Using only second order
statistics, the ACM approach shows similar performance to that
of subspace based approach. The added advantage is that it eliminates the need for rank estimation and noise power calculation
as in subspace technique. In particular we incorporate blind
channel estimation with Layered Space Frequency Equalisation
(LSFE),which employs successive interference cancellation and
therefore provides significant performance improvement over the
conventional linear minimum mean square error (MMSE) based
approach.
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Size: 109568 |
Author: Casper_z
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Description: 这个例子展示了如何用波束形成来模拟点对点MIMO-OFDM系统。多输入多输出（MIMO）组合和正交频分复用（OFDM）技术已在最近的无线标准的采用，如802.11X，提供更高的数据传输速率。由于MIMO采用天线阵，波束形成可以提高接收信噪比，进而降低误码率。(This examples shows how to model a point-to-point MIMO-OFDM system with beamforming. The combination of multiple-input-multiple-output (MIMO) and orthogonal frequency division multiplexing (OFDM) techniques have been adopted in recent wireless standards, such as 802.11x families, to provide higher data rate. Because MIMO uses antenna arrays, beamforming can be adopted to improve the received signal to noise ratio (SNR) which in turn reduces the bit error rate (BER).)
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Size: 60416 |
Author: 逗
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Description: Frequency Transposition and IQ Imbalance Compensation for Multicore Systems
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Size: 4575232 |
Author: kaissoun |
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Description: Orthogonal frequency division multiple access
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Size: 10240 |
Author: smz12 |
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Description: 这是关于多输入多输出正交频分复用索引的代码(Multiple input multiple output orthogonal frequency division multiplexing index modulation simulation code)
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Size: 4096 |
Author: 5555511111 |
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