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 仿真研究了采用優(yōu)選擴(kuò)散交織與改進(jìn)的max - log - map譯碼算法的turbo碼在加性白高斯噪聲( 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 傳統(tǒng)的空時格碼把空間分集、時間分集和前向糾錯編碼聯(lián)合設(shè)計,以n摘要獲得最大的空間分集、時間分集、信道編碼的增益。
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 接著,對自適應(yīng)調(diào)制系統(tǒng)中的信道估計問題難點,詳細(xì)推導(dǎo)了平衰落信道條件下和選擇性衰落信道條件下最大似然( ml )估計和最大后驗概率( map )估計算法,針對平衰落信道,我們仿真了map估計和ml估計的方差與導(dǎo)頻符號長度的關(guān)系,仿真結(jié)果表明,錯誤方差受多譜勒頻率的變化影響最大,并且對實際的自適應(yīng)調(diào)制系統(tǒng),導(dǎo)頻符號長度的取值超過20個符號長度時, map信道估計明顯優(yōu)于ml信道估計。
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 首先介紹了它的基本思想、基本方法、及當(dāng)前研究現(xiàn)狀;在此基礎(chǔ)上推導(dǎo)出樣本數(shù)選擇的界,樣本數(shù)的選擇決定了系統(tǒng)的性能,但是若選的太多,計算復(fù)雜度也會隨之增大,因而給出這個界是十分有意義的;最后提出了一種基于新的重要函數(shù)的檢測器用來解決平坦衰落信道下的聯(lián)合信道估計和檢測問題,并通過仿真證明了我們提出的新檢測器的有效性。
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,對于平坦衰落信道下的mimo檢測技術(shù)的研究已較為成熟,本文首先對其中三種具有較高實用性的算法進(jìn)行了綜述和仿真研究,其中包括迫零檢測、 v - blast檢測和格約簡輔助檢測三種算法。