The study on decision feedback equalizer based on channel estimation 基于信道估值的判決反饋均衡器研究
The simulation result indicated the decision - feedback equalizer ( dfe ) had good adaptability to hf channel . the converaging behavior and tracking behavior of two kinds of the adaptive algorithm - lms algorithm and rls algorithm were analysized 分析了2大類自適應算法? ? lms和rls算法的收斂和跟蹤性能,仿真結果表明了rls算法具有良好的跟蹤和收斂性能。
Comparison study between the constant modulus decision feedback equalizer ( dfe ) and several others is made on combating the frequency selective fading of uwac , and their tracking performance to time varying is also investigated ?針對水聲信道的頻率選擇性衰落,對比研究了常數模判決反饋盲均衡算法與其它幾種盲均衡算法的性能。針對水聲信道的時變特性,研究了該算法的跟蹤摘要性能。
The matlab language and c language were applied to simulate the fixed - point dsp arithmetic of equalizer algorithm . the simulation result indicated the diveragence phenomenon would happen to adfe ( adaptive decision feedback equalizer ) based on rls algorithm under the fixed - point finite - precision arithmetic 采用matlab和c語言模擬均衡器定點dsp算法的實現,仿真結果表明rls算法的自適應判決反饋均衡器( adfe )在定點有限字長運算的情況下存在著發散現象。
The proposed algorithm outperforms blind linear equalizer ( le ) based on statistical equalization criterion in reducing the mse and compensating for the carrier phase rotation and blind linear decision feedback equalizer ( ldfe ) based on statistical equalization criterion in improving convergent speed 因此,該算法在減小均方誤差與補償相位旋轉方面的性能優于基于統計特性均衡準則的線性盲均衡算法;在收斂速度方面的性能優于基于統計特性均衡準則的線性判決反饋盲均衡算法。
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于:提出了預編碼-判決反饋聯合均衡系統結構,并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信道的離散正則模型概念,該模型適宜于利用觀察數據的二階統計量進行盲信號處理;基于離散正則模型對時變色散信道進行了系統的盲均衡和盲辨識方法研究,提出了對時不變信道矩陣的子空間盲辨識算法;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算法;提出了基于離散正則模型的直接盲均衡算法;提出了基于特征恢復思想的神經網絡直接自適應盲均衡算法。
In chapter 3 , based on the idea of joint equalization , we adopt the decision feedback equalizers to perform the second equalization to overcome the problem of filterbank precoders - linear equalizers joint optimization proposed recently , and get a new optimal result 在第三章中,基于聯合均衡的思想,針對國際上最新提出的濾波器組預編碼-線性均衡最優設計中存在的問題,文章提出了采用判決反饋均衡器完成二次摘要均衡,以消除殘留的塊間干擾,得到了新的最優設計結果。
For greatly overcoming the carrier phase rotation resulting from multipath underwater acoustic channel and large mean square error ( mse ) at convergent end of linear equalizer ( le ) based on higher order statistics , statistical equalization criterion based blind linear sign decision feedback equalizer ( lsdfe ) was proposed 摘要為了克服多途水聲信道引起信號的相位旋轉及基于高階統計量的線性均衡器( le )收斂后均方誤差大的不足,提出了基于統計特性均衡準則的線性符號判決反饋盲均衡算法。
In this chapter , cck codeword has been described . following this are the algorithm of cck receiver scheme , includeing maximum likelihood receiver under awgn channel - rake and rake - isi receiver based on the channel matched filter and decision feedback equalizer . chapter 5 is a report about the receivers performance simulations 在這一章中對cck調制及碼字的特點進行詳細描述,隨后詳細闡述我們所采用的幾種cck接收機方案中的算法,包括加性噪聲信道下的最大似然接收機、基于信道匹配濾波器的rake接收機、帶isi刪除的rake接收機(即rake - isi ) 、帶isi和ici刪除的rake接收機(即rake - isi ici )以及判決反饋均衡器。
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 第一種是采用濾波器組聯合均衡方法將色散信道等價為一組獨立的平坦衰落子信道,以提高接收機的分集增益;另外一種是提出采用離散正則模型將時變色散信道的盲信號處理轉化為時不變多信道模型的盲信號處理,并針對該模型對時變色散信道的盲均衡與盲辨識方法進行了詳細討論。