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flat fading channel中文是什么意思

  • 平坦衰落信道

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  • 例句与用法
  • Autoregressive modeling for flat fading channel simulation
    模型的平坦衰落信道仿真
  • If the assigned spreading codes are orthogonal and signals are transmitted through a flat fading channel , there will be no multiple access interference ( mai )
    如果所有用户采用理想正交扩频码并且通过同步平坦衰落信道,系统中将不会存在多址干扰( mai : multipleaccessinterference ) 。
  • Based on the research of mimo detections under the flat fading channel , this paper focuses on the mimo detection under the frequency selective fading channel , chiefly aiming at the lll detection algorithm
    在对平坦衰落信道下mimo检测技术研究的基础上,本文展开了对频率选择性信道下mimo检测技术的研究。
  • While this dissertation will use wavelet analysis to decompose fading - process , and provide wavelet model of flat fading channel , then propose a new blind receiver based on monte carol algorithm
    本文将平衰落信道的衰落过程进行小波分解与建模,在此基础上提出一种采用顺序蒙特卡罗算法的盲均衡接收机,并给出了仿真结果以证明此接收机的优异性能。
  • Then this paper makes some overview and simulation on the application of three precoding algorithms under the flat fading channel , which are linear preequalization , tomlinson - harashima precoding ( thp ) and lattice reduction - aided ( lll ) vector precoding
    本文对三种常见的预编码算法在平坦衰落信道下的应用进行了综述和仿真研究,包括迫零线性预均衡、 thp预编码和格约简辅助矢量预编码等算法。
  • To verify their effectiveness , simulation studies are conducted to test the performance of the proposed turbo codes in awgn channels and flat fading channels . in these simulations , the modified max - log - map decoding algorithm and the golden - spread interleaver are applied
    仿真研究了采用优选扩散交织与改进的max - log - map译码算法的turbo码在加性白高斯噪声( awgn )信道以及平衰落信道上的性能。
  • The fourth part considered how to improve system performance by adopting transmission diversity in flat fading channels . in the traditional space - time trellis code design , the space diversity , time diversity and channel code are concerned together to get best space diversity , time diversity and code gain
    传统的空时格码把空间分集、时间分集和前向纠错编码联合设计,以n摘要获得最大的空间分集、时间分集、信道编码的增益。
  • And then facing the problem of the channel estimation of the adaptive modulation system , we conclude out the channel estimation algorithms on maximum likelihood ( ml ) estimation and maximum a posteriori ( map ) estimation under the condition of flat fading channel and selective fading channel in detail . to meet flat fading channel , we simulate the relationship of the ratio between the error covariance in map estimation and ml estimation and pilot symbol message length . the conclusion can be drawn from these results
    接着,对自适应调制系统中的信道估计问题难点,详细推导了平衰落信道条件下和选择性衰落信道条件下最大似然( ml )估计和最大后验概率( map )估计算法,针对平衰落信道,我们仿真了map估计和ml估计的方差与导频符号长度的关系,仿真结果表明,错误方差受多谱勒频率的变化影响最大,并且对实际的自适应调制系统,导频符号长度的取值超过20个符号长度时, map信道估计明显优于ml信道估计。
  • The basic idea of this method is to produce particles from the posterior densities , and these weighted samples provide approximations to the densities . in this dissertation , sequential monte carlo method and its applications in communication are investigated . firstly , its basic idea , method and improved method are introduced , then induce the bound of particles , which determines the performance of the system , and the more particles are chosen , the higher computation is done , finally , a new detector based on new importance function is proposed , which deals with the joint channel estimation and detection in flat fading channels
    首先介绍了它的基本思想、基本方法、及当前研究现状;在此基础上推导出样本数选择的界,样本数的选择决定了系统的性能,但是若选的太多,计算复杂度也会随之增大,因而给出这个界是十分有意义的;最后提出了一种基于新的重要函数的检测器用来解决平坦衰落信道下的联合信道估计和检测问题,并通过仿真证明了我们提出的新检测器的有效性。
  • At present , the research on the mimo detections under the flat fading channel has been maturational . this paper firstly overviews and simulates three practical mimo detections , which are zero - forcing ( zf ) algorithm , v - blast algorithm and lattice - reduction aided ( lll ) detection algorithm . the simulation results suggest that lll algorithm has apparent advantages over other two detection algorithms
    目前,对于平坦衰落信道下的mimo检测技术的研究已较为成熟,本文首先对其中三种具有较高实用性的算法进行了综述和仿真研究,其中包括迫零检测、 v - blast检测和格约简辅助检测三种算法。
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Last modified time:Wed, 13 Aug 2025 00:29:56 GMT

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