blind channel 中文意思是什麼
blind channel
解釋
盲水道-
The original infomax is only applied in the instantaneous mixture and in the single channel blind deconvolution. this thesis applies the idea to blind sources separation in multiple channel convolutive mixture. through simulation, we can show that the algorithm has good performance
Infomax演算法適用於瞬時混合情況下的盲分離和單通道盲解卷積問題，本文將infomax演算法推廣到多通道卷積混合，對演算法進行模擬，取得了不錯的效果。 -
The main characteristics and advantages are : on one hand, we adopted the low - complexity bussgang algorithm, and did blind estimation to ofdm sub - channel according to the mean square error criterion ( mse ) and peak distortion criterion ; on the other hand, we used the differential detection, which accelerates the convergence speed and avoid the error transmission problem resulted from the bussgang algorithm
這兩種演算法一方面採用了低復雜度的bussgang自適應演算法，分別依據均方誤差準則和峰值失真準則對ofdm系統子通道進行盲估計；另一方面通過引入差分檢測技術，加快了演算法收斂速度，克服了bussgang演算法帶來的誤差傳播問題。 -
The super - exponential iteration ( sei ) blind equalization algorithm has the advantage of good tracking capability of the time varying channel
超指數盲均衡演算法的迭代演算法收斂速度快，且便於跟蹤時變通道。 -
The algorithms have blind and robust characteristic, which does not need the channel impulse response
而且它們無須通道沖激響應，是盲、魯棒的聯合處理方法。 -
Blind equalization techniques rely on solely the received channel output signal to adjust the equalizer weights without a known training sequence available
盲均衡就是不藉助于訓練序列而僅僅利用接收序列就實現均衡的一種新興的均衡技術。 -
Two sova decoding algorithms in ofdm system based on bpsk modulation with fading channel were presented. one is called bce _ sova, which is based on adaptive blind channel recognization. it can adaptively estimate the channel state information ( csi )
其中一種是基於自適應盲通道識別演算法的sova譯碼演算法（簡稱bce _ sova ） ，該演算法可以自適應地估計通道狀態信息（ channelstateinformation ， csi ） ，由於不用訓練，傳輸時延小，但計算復雜度高。 -
Uplink space - time channel blind estimation for space - time coded multicarrier code division multiple access systems
空時編碼多載波碼分多址系統上行空時通道盲估計 -
The new algorithms for classification of mpsk, mask and mqam signals using cumulant invariants are proposed in gaussian noise and ideal communication channel environment. the new classification features are blind to unknown snr and reference phase
提出了在高斯噪聲和理想通道環境下，基於高階累量不變量特徵的mpsk 、 mask和mqam信號調制分類演算法，新特徵對信噪比和未知的參考相位參數是盲的。 -
But the frequent use of training sequence is certainly a waste of channel bandwidth. research shows that with the prior knowledge of only the signature waveform and timing of the user of interest, blind adaptive multiuser detector can effectively detect data symbol of the desired user without training data sequence for every active user
在傳統多用戶檢測技術基礎上，自適應多用戶檢測利用訓練序列在僅知道期望用戶地址pn碼及其定時信息條件下就可以進行檢測，不足的就是訓練序列佔用了額外的頻率資源。 -
Blind space - time channel estimation and multiuser detection for asynchronous ds - cdma system
空時多用戶檢測器的級聯結構 -
Modeling and classification of two - channel elctromyography signals based on blind channel identification theory
基於盲辨識理論的雙通道肌電信號建模與分類 -
The following algorithms have been proposed and tested in the thesis : 1 frequency selective fading : combine the isomorphism between the input space and the output space and propose a new approach to blind equalization of the channel. compared with conventional methods, the new approach offers lower computational complexity, better performance, and more robust against the over - determination of the system order ; 2 time selective fading : a new approach to the equalization of time selective channel based on the zero - forced equalizer is proposed which is more simple in its structure of algorithm ; 3 time - varying channel : using the instantaneous mean value changes of the output signal to extract the information of channel variations and model it using ar model, kalman filter is then employed to track channel variations, it bears faster ability in tracking the variation of tv channels ; based on the isomorphism between the inputs and the outputs and some of the approaches using in mimo system, a new algorithm of equalization of simo time - varying channel is proposed, which also share the merits of being robust against the over - determination of the system order ; model the time - varying channel using the multi - resolution decomposition wavelets, and then a blind identification method based " on the model is proposed ; at last, a new model for equalization and identification of mimo system is proposed
主要工作在以下幾個方面： 1 、針對頻率選擇性衰落通道：結合輸入輸出空間同構關系提出一種新的頻率選擇性通道均衡方法，與傳統方法相比，該方法計算量更小，收斂速度更快，性能更優，且對系統階次的過確定表現穩健，具有實際均衡應用價值； 2 、針對時間選擇性衰落通道：提出一種基於迫零均衡的時間選擇性通道均衡方法，演算法結構簡單； 3 、針對時變色散通道：利用瞬態均值曲線提取通道時變信息，對之ar建模，利用卡爾曼濾波器跟蹤時變通道抽頭變化，可以快速跟蹤通道變化；基於輸入輸出空間之間的同構關系以及多輸入多輸出系統的處理方法，提出了新的單輸入多輸出色散時變通道均衡與識別演算法，同樣具有對通道階次過確定保持穩健的優點；結合小波多解析度分析提出一種基於小波模型的通道盲識別演算法；研究時變的多輸入多輸出系統的盲均衡與盲反卷積問題，給出一種時變系統處理模型。 -
Firstly, a new joint filterbank precoders and decision feedback equalizers structure is proposed, and the corresponding optimization result based on the maximal mutual information criterion is derived. secondly, the concept of dt canonical model is proposed, which is very suitable for the task of blind signal processing based on the second - order statistical of the observations. thirdly, the methods of blind equalization and identification of the tv dispersive channels are researched systematically based on the proposed dt canonical model, and a subspace blind identification algorithm of the time - invariant channel matrix is developed
本文創新性的成果在於：提出了預編碼-判決反饋聯合均衡系統結構，並從理論推導得出了對應的最大互信息量最優化設計結果；首次提出了時變色散通道的離散正則模型概念，該模型適宜於利用觀察數據的二階統計量進行盲信號處理；基於離散正則模型對時變色散通道進行了系統的盲均衡和盲辨識方法研究，提出了對時不變通道矩陣的子空間盲辨識演算法；針對誤差傳播效應問題，提出了可以消除誤差傳播效應的兩級盲辨識演算法；提出了基於離散正則模型的直接盲均衡演算法；提出了基於特徵恢復思想的神經網路直接自適應盲均衡演算法。 -
We propose the joint filterbank precoders and decision feedback equalizers structure at first, by which the dispersive channel is equivallent into parallel independent flat fading subchannels such that the diversity gain of the receiver is increased. then we adopt the discrete - time ( dt ) canonical model to convert the problem of blind signal processing of tv dispersive channels into processing the time - invariant multi - channels model blindly, and discuss the problem of blind equalization and identification of tv dispersive channels based on this new model
第一種是採用濾波器組聯合均衡方法將色散通道等價為一組獨立的平坦衰落子通道，以提高接收機的分集增益；另外一種是提出採用離散正則模型將時變色散通道的盲信號處理轉化為時不變多通道模型的盲信號處理，並針對該模型對時變色散通道的盲均衡與盲辨識方法進行了詳細討論。 -
According to wireless and mobile communication system ' s background, this thesis study on estimation of time - varying dispersive channel from four respects : ( 1 ) aid of pilots, ( 2 ) cyclic prefix ( cp ), ( 3 ) blind method, and ( 4 ) ofdm system with multiple transmitting antenna, in which the typical ways is decision - feedback algorithm and self - adaptive block algorithm
本文以無線和移動通信系統為背景，從四個方面對時變色散通道下的ofdm系統的通道估計和均衡問題進行了研究。第一是基於導頻符號的通道估計方法，第二是基於循環前綴的通道估計方法，第三是通道的盲估計方法，第四是基於多天線ofdm系統的通道估計和均衡方法的研究。 -
A subspace - based blind channel estimator has been developed for space time coding orthogonal frequency division multiplexing ( stc - ofdm ) system with two transmit antennas and two receive antennas
摘要針對使用2個發射天線和2個接收天線並且採用循環前綴的空時編碼正交頻分復用系統（ stc - ofdm ） ，提出了一種通道盲估計演算法，並給出通道可被辨識的條件。 -
In order to reducing isi recovering transmitted signal equalizer have to be used in the reciever. because blind channel equalizer can reduce the intersymbol interference without the assistance of the transmitted sequence, it has been becoming a very popular research topic in recent years
盲均衡器由於不需要訓練序列，僅利用接收信號的統計特性就能對通道特性進行均衡，消除碼間串擾，成為近年來通信領域研究的熱點課題。 -
An efficient blind channel estimation algorithm for mimo - ofdm systems
系統中的通道估計 -
In chapter 4, a based on subspace blind channel estimation method is introduced
第四章介紹了一種基於子空間的盲通道估計方法。 -
( 3 ) a blind channel estimator based on the aid of pseudo - pilot - symbols ( pps ) is proposed in term of the two characters of ofdm system : the finite alphabet property of information symbols and independent property between subchannels
（ 3 ）利用ofdm系統傳輸的信息符號為有限字符集和各子載波的相互獨立特性，提出了用偽導頻符號（ pps ）進行通道的盲估計演算法。
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