運(yùn)用格狀圖支路轉(zhuǎn)移規(guī)則和Viterbi算法實(shí)現(xiàn)數(shù)字信號盲估計(jì)
DIGITAL CHANNEL BLIND ESTIMATION USING VITERBI ALGORITHM AND THE BRANCH TRANSITION RULES OF TRELLIS
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摘要: 該文提出了一種新的離散數(shù)字信道盲估計(jì)算法,運(yùn)用格狀圖中的一步支路轉(zhuǎn)移規(guī)則,大大削減了最佳估計(jì)所要求的計(jì)算量。文中首先介紹了符合最大似然序列估計(jì)(MLSE)準(zhǔn)則的信道最佳盲估計(jì)算法,然后闡述了運(yùn)用格狀圖中的一步支路轉(zhuǎn)移規(guī)則對格狀圖進(jìn)行篩選的基本思想,接著詳細(xì)介紹了本算法,最后通過數(shù)值仿真研究了本算法的性能。Abstract: A novel discrete-time digital channel blind estimation algorithm is proposed, which reduces the complexity of the optimal estimation considerably by using the one-step branch transition rules of trellis. In this paper, the optimal estimation algorithm based on the maximum likelihood sequence estimation is introduced first. Then the idea of selecting trellises based on the one-step branch transition rules in a trellis is explained. Following the presentation of the novel channel blind estimation algorithm, the performance of this algorithm is studied with computer simulation.
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Y.Sato,A method of self-recovering equalizations for multilcvel amplitude-modutation systems,IEEE Trans.on Conun.1975,COM-23(6):679-682[2]D.X.Godard,Self-recovering equalization and carrier tracking in two-dimensilual data commu-nicalions systems .IEEE Trans.on Comun.1980.COM-28(1),1876-1875[3]G.Picci.G.Prati,Blind equalization and carrier recovery using a stop-iund-go decision and directed alsorithm;IEEE Trans .on Coun,1987,COM-35(9),877-887[4]L.Tong .G.Xu,T.Kailath.Blind identification and equalization based on second-order statistics.IEEE.Trans.on Info.Theory,1994 ,IT-40(3),340-349[5]X.Seshardri.Joint data and channel estimarion using blind treilis search techniques,IEEE Trans.on Coum,1991,COM-42(3):1000-1011[6]J.G.Proakis,Digital Communication,3rd edition,New York:McGraw-Hill.1995,675[7]J.B.Anderson,S.Mohan,Sequential coding algorthms,a surevy and cost analysis,IEEE Trans.on Comun.1984,COM-32(2),1689-1696[8]F.Suong.B-H.Juang Optimal quantization of LSP parameters,IEEE Trans.on Speech and Audio Processing,1993,11(1):15-24. -
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