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(yīng)算法? ? lms和rls算法的收斂和跟蹤性能,仿真結(jié)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(shù)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(shí)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(diǎn)dsp算法的實(shí)現(xiàn),仿真結(jié)果表明rls算法的自適應(yīng)判決反饋均衡器( adfe )在定點(diǎn)有限字長運(yùn)算的情況下存在著發(fā)散現(xiàn)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(bǔ)償相位旋轉(zhuǎn)方面的性能優(yōu)于基于統(tǒng)計(jì)特性均衡準(zhǔn)則的線性盲均衡算法;在收斂速度方面的性能優(yōu)于基于統(tǒng)計(jì)特性均衡準(zhǔn)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(chuàng)新性的成果在于:提出了預(yù)編碼-判決反饋聯(lián)合均衡系統(tǒng)結(jié)構(gòu),并從理論推導(dǎo)得出了對應(yīng)的最大互信息量最優(yōu)化設(shè)計(jì)結(jié)果;首次提出了時(shí)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(shù)據(jù)的二階統(tǒng)計(jì)量進(jìn)行盲信號處理;基于離散正則模型對時(shí)變色散信道進(jìn)行了系統(tǒng)的盲均衡和盲辨識方法研究,提出了對時(shí)不變信道矩陣的子空間盲辨識算法;針對誤差傳播效應(yīng)問題,提出了可以消除誤差傳播效應(yīng)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(fù)思想的神經(jīng)網(wǎng)絡(luò)直接自適應(yīng)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(lián)合均衡的思想,針對國際上最新提出的濾波器組預(yù)編碼-線性均衡最優(yōu)設(shè)計(jì)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(yōu)設(shè)計(jì)結(jié)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(zhuǎn)及基于高階統(tǒng)計(jì)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(tǒng)計(jì)特性均衡準(zhǔn)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(diào)制及碼字的特點(diǎn)進(jìn)行詳細(xì)描述,隨后詳細(xì)闡述我們所采用的幾種cck接收機(jī)方案中的算法,包括加性噪聲信道下的最大似然接收機(jī)、基于信道匹配濾波器的rake接收機(jī)、帶isi刪除的rake接收機(jī)(即rake - isi ) 、帶isi和ici刪除的rake接收機(jī)(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(lián)合均衡方法將色散信道等價(jià)為一組獨(dú)立的平坦衰落子信道,以提高接收機(jī)的分集增益;另外一種是提出采用離散正則模型將時(shí)變色散信道的盲信號處理轉(zhuǎn)化為時(shí)不變多信道模型的盲信號處理,并針對該模型對時(shí)變色散信道的盲均衡與盲辨識方法進(jìn)行了詳細(xì)討論。