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多用戶共信道信號的半盲閉式分離方法

蔣伯峰,  殷勤業(yè),  金梁

蔣伯峰, 殷勤業(yè), 金梁. 多用戶共信道信號的半盲閉式分離方法[J]. 電子與信息學(xué)報, 2001, 23(6): 521-527.
引用本文: 蔣伯峰, 殷勤業(yè), 金梁. 多用戶共信道信號的半盲閉式分離方法[J]. 電子與信息學(xué)報, 2001, 23(6): 521-527.
Jiang Bofeng, Yin Qinye, Jin Liang. SEMI-BLIND CLOSED-FORM CO-CHANNEL SIGNALS SEPARATION METHOD[J]. Journal of Electronics & Information Technology, 2001, 23(6): 521-527.
Citation: Jiang Bofeng, Yin Qinye, Jin Liang. SEMI-BLIND CLOSED-FORM CO-CHANNEL SIGNALS SEPARATION METHOD[J]. Journal of Electronics & Information Technology, 2001, 23(6): 521-527.

多用戶共信道信號的半盲閉式分離方法

SEMI-BLIND CLOSED-FORM CO-CHANNEL SIGNALS SEPARATION METHOD

  • 摘要: 該文充分利用數(shù)字移動通信系統(tǒng)中的已知短序列,給出了一種半盲多用戶共信道信號分離方法。該方法首先得到信號的零空間,然后借助于各用戶中的已知短序列,采用LMS算法得到各用戶信號的估計。與非盲方法相比,所需的已知短序列非常有限,其最短長度僅為共用同一個信道的用戶數(shù)。同時也克服了全盲方法運算量大和存在局部極小點等問題。計算機仿真實驗表明,在多徑條件下,該方法適用于智能天線系統(tǒng)中上行共信道信號的分離。
    Abstract: In this paper, a semi-blind closed-form co-channel signal separation method is proposed, which is based on two steps. The first is to estimate the zero space of multi-users signals. The second is to estimate them using LMS method and some short sequence, which is always known in digital communication system. Compared with non-blind ones, the new method needs very short sequence, the shortest length of which is equal to the number of co-channel users. At the same time it can overcome the shortcoming of blind ones in computational complexity and lack of global convergence. The computer simulation demonstrates that the. new method is suitable for co-channel signal separation in smart antenna systcin when mult,ipath exists.
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  • J.Wiuters,J,Salz.R.Gitlin,The impact of autenna diversity on the capacity of wireless comunmication systems.IEEE Trans.on Communications.1994,m42(3):1740-1751[2]金狹.鑷儀林,殷勤業(yè),多用戶環(huán)境下陣列響應(yīng)的閉式百估計力@法、電子學(xué)報, 20D0.2S(1):60-63[3]Guanghan Xu,Hui Liu,Lang Tong,Thumas Kailath.A lease-squares approach to bliud channel identification,IEEE Trans.on Sigual Processiug,1995 ,43(12):2982-2993[4]E.Mouliues ,P.Duharuel:J.Cardoso.S.Mayrargue.Subspace methods for the blind identification of multichamel FIR.filters.IEEE.Trans.on Sigual Processing,1995,43(2):516-525[5]L.Tong.G.Xu.B.Hassibi.T Kailath,Blind identification and equalization based on scroudorder statisticws: Afrequency domain approach,IEEE Trans.on Info.Theory:1995:41(1).329-333[6]Hui Lui Guanghan Xu,Closed-form blind symbol estimation in digital communication IEEE Trans On Signal Processing,1995,43(11):2714-2723[7]S.Talwar ,M Viberg,A.Paulraj,Blind estination of multiple,co-chanmel digital siguals nsing an antenna array.IEEE Sigual Processing Lett.1994,(12):56-57[8]J.C.Liberti.T.S.Raappaort,Smart Antennas for Wiroless Commumication of spatial-ternporal filer coefficicots based on a training-like approach,IEEE Signal Processing Lett.1998,5(9),231-233.
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出版歷程
  • 收稿日期:  1999-04-29
  • 修回日期:  2000-04-21
  • 刊出日期:  2001-06-19

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