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Description: MIMO OutageCapacity vs SNR
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Size: 1024 |
Author: LD |
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Description: 由于Turbo码在接近Shannon极限的低信噪比下仍然能够获得较低的误码率，所以在近几年已成为编码理论界研究的热门领域，在第三代移动通信系统的开发中，Turbo码被普遍认为是高速数据信道的纠错编码方式。现在人们对Turbo码的主要研究包括编码器、交织器的设计及软输入、软输出迭代译码的算法。-This kind of codes has given rise to a large interest in the coding theory because of the can still aehieve small bit error rate at low SNR close to the Shannon capacity limits.In the development of the third generation mobile communieation systems，it is well kllown that Turbo codes are the way of correct coding of high-speeding data channel. The researeh of Turbo codes includes the design of the encoder，the illterleaver and soft-out/soft-in iterative decoding algorithm.
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Size: 96256 |
Author: 陈吉伟 |
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Description: 改程序实现了mimo无线通信的容量的CDF、PDF等分布曲线-Procedures to achieve the capacity of mimo wireless communication of the CDF, PDF and other distribution curve
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Size: 1024 |
Author: 月竹 |
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Description: 固定信噪比、天线为变量时，MIMO的容量累积分布函数-Fixed SNR, the antenna for the variables, MIMO capacity of the cumulative distribution function
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Size: 4096 |
Author: 支红红 |
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Description: 信噪比估计代码，附有IEEE文献一篇，在AWGN下进行了MCRB的相关仿真-A Comparison of SNR Estimation Techniques
for the AWGN Channel
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Size: 420864 |
Author: 李军 |
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Description: We investigate the case of independent Rayleigh faded paths between antenna elements and find that with
high probability extraordinary capacity is available. Compared to the baseline n = 1 case, which by Shannon’s
classical formula scales as one more bit/cycle for every 3 dB of signaltonoise
ratio (SNR) increase, remarkably
withMEAs, the scaling is almost like n more bits/cycle for each 3 dB increase in SNR. To illustrate how great this
capacity is, even for small n, take the cases n = 2, 4 and 16 at an average received SNR of 21 dB. For over 99
of the channels the capacity is about 7, 19 and 88 bits/cycle respectively, while if n = 1 there is only about 1.2
bit/cycle at the 99 level. For say a symbol rate equal to the channel bandwith, since it is the bits/symbol/dimension
that is relevant for signal constellations, these higher capacities are not unreasonable. The 19 bits/cycle for n = 4
amounts to 4.75 bits/symbol/dimension while 88 bits/cycle for n = 16 amounts to 5.5 bits/symbol/dimension.
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Size: 396288 |
Author: greg |
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Description: MATLAB软件对不同发射天线、不同接收天线、不同信噪比下的MIMO系统容量进行仿真，得出在不增加带宽和天线发送功率的情况下利用MIMO信道成倍地提高无线信道容量-MATLAB software for different antennas, different antenna, different SNR of the MIMO system capacity for simulation, obtained without increasing the bandwidth and the antenna transmit power where the use of MIMO channels to improve wireless channel capacity multiplied
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Size: 1024 |
Author: 刘月 |
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Description: 高斯信道容量仿真 与与信噪比的关系，与发送功率和带宽的关系 一级三维图形描述性能 -GS-channel capacity，related to SNR powerand bandwidth
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Size: 6144 |
Author: 连长 |
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Description: It calculate and plot the capacity of SISO,MISO and SIMO and compare it with SNR.-It calculate and plot the capacity of SISO,MISO and SIMO and compare it with SNR.
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Size: 1024 |
Author: Dinesh Panthy |
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Description: 给出了MIMO系统中的通信容量在不同的信噪比中以及在不同的衰落环境中的具体数值-MIMO capacity in various BER
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Size: 1024 |
Author: 李祥东 |
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Description: 在MATLAB环境下仿真瑞利信道容量与信噪比的关系-In MATLAB simulation Rayleigh channel capacity and SNR relationship
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Size: 1024 |
Author: 王松 |
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Description: 现代编码调制作业，不同信噪比下的信道容量计算-Modern coding and modulation operations, different SNR channel capacity calculation
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Size: 13312 |
Author: benjamin |
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Description: 随着传输速率越来越高,信号所占用的带宽越来越宽,实际信道呈现出频率选择性衰落特
性。根据频率选择性衰落信道特性,建立了频率选择性衰落M IMO信道模型,采用频域和时域的方
法研究了在频率选择性衰落下,发射端已知和未知信道状态信息的M IMO信道容量,并给出了相关
的仿真结果。研究结果表明:在相同发射功率和传输带宽下,M IMO系统可以不牺牲信号带宽而显
著提高信道的容量,并且天线数量和输入信噪比的大小对信道容量具有不同的影响。研究结果为如
何提高频率选择性衰落环境下M IMO信道容量提供了依据。-With the higher and higher of transmitting rate, the signal bandwidth iswider and wider, and the
p ractical channel p resents the frequency selective fading character. In this paper, a multi- input multi-
output (M IMO) channelmodel under frequency selective fading is constructed according to the character of
frequency selective fading channel. The frequency and time domain methods are used to discussM IMO
channel capacity due to the known and unknown channel state information under the frequency selective fa2
ding. The simulation results show thatM IMO system can imp rove the channel capacity remarkably but no
exchanging signal bandwidth under the circumstances of the same launching power and transmitting band2
width, and the numbers of antennas and the quantity of SNR have the different effect on the channel capaci2
ty. The conclusion offers the basis of how to imp rove M IMO channel capacity under the circumstances of
frequency selective fading.
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Size: 513024 |
Author: 蜡笔 |
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Description: 多输入多输出(MIMO)通信系统相比其他的通信系统具有更高的频谱效率，在不增加发射功率以及信号带宽的
情况下，MIMO 技术可以有效地提高系统信道容量及其性能。利用均匀角能量分布以及相关矩阵，分析了相关信道下的MIMO
系统信道容量，得出了系统信道容量的通用公式，并利用MATLAB 进行仿真。仿真结果表明，相关性的增加意味着信噪比的减
小，圆形接收天线阵列半径与角度扩展是决定MIMO 系统信道容量的主要因素。-Multiple-input multiple output (MIMO) communication architecture, as compared with conventional
techniques, has even higher spectral efficiency, and MIMO technique could greatly improve channel capacity and
performance of the system without any increase of transmitting power and bandwidth. By uniform angular distribution
and the correlation matrix, the MIMO channel capacity in correlated channel is investigated. Numerical simulation
is performed with MATLAB, thus to verify the proposed formula. Simulation result indicates that, for this model,
the increase of correlation means the reduction of signal-to-noise ratio (SNR), and the circular receive antenna
array radius or angle spread is the dominating factor for channel capacity.
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Size: 805888 |
Author: 蜡笔 |
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Description: With the higher and higher of transmitting rate, the signal bandwidth iswider and wider, and the
p ractical channel p resents the frequency selective fading character. In this paper, a multi - input multi -
output (M IMO) channelmodel under frequency selective fading is constructed according to the character of
frequency selective fading channel. The frequency and time domain methods are used to discussM IMO
channel capacity due to the known and unknown channel state information under the frequency selective fa2
ding. The simulation results show thatM IMO system can imp rove the channel capacity remarkably but no
exchanging signal bandwidth under the circumstances of the same launching power and transmitting band2
width, and the numbers of antennas and the quantity of SNR have the different effect on the channel capaci2
ty. The conclusion offers the basis of how to imp rove M IMO channel capacity under the circumstances of
frequency selective fading.
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Size: 513024 |
Author: Yuan |
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Description: 此代码是反映，在不同信道比下的MIMO信道容量。-This code is reflected in the different channel than in the MIMO channel capacity.
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Size: 1024 |
Author: 郭鸣霄 |
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Description: matlab code for ergodic capacity vs SNR of 4x4 mimo system- matlab code for ergodic capacity vs SNR of 4x4 mimo system
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Size: 1024 |
Author: ghore |
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Description: MIMO信道容量仿真，可以计算发射端未知CSI时，MIMO信道在不同SNR下的遍历容量。-Ergodic capacity
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Size: 1024 |
Author: John |
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Description: MIMO信道容量，可以计算天线数变化时的遍历容量，并且发射端未知CSI。-erodic capacity vs snr
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Size: 1024 |
Author: John |
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Description: showing the graph of channel capacity and SNR in uplink LTE
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Size: 11264 |
Author: Muthia
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