基于MMSE準(zhǔn)則實(shí)現(xiàn)多址干擾避免的信號設(shè)計(jì)
MMSE-Minimizing Signature Optimization for Multiaccess Interference Avoidance
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摘要: 本文基于最小均方誤差準(zhǔn)則(MMSE)，在發(fā)端對系統(tǒng)中多個用戶的發(fā)送信號樣式進(jìn)行了設(shè)計(jì)優(yōu)化，最大限度地避免用戶間的相互干擾，使檢測器輸出與發(fā)送符號之間的最小均方誤差達(dá)到理論下限。在最佳信號設(shè)計(jì)過程中，本文利用矩陣分塊理論簡化了算法、降低了運(yùn)算復(fù)雜度。并且設(shè)計(jì)的信號在加性高斯白噪聲信道條件下所獲得的系統(tǒng)容量要優(yōu)于Rose等人(2002)采用特征值迭代算法(Eigen Algorithm)設(shè)計(jì)的信號集合，文章最后通過仿真給予證實(shí)。
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關(guān)鍵詞:
- 信號設(shè)計(jì);多址干擾避免; 最小均方誤差(MMSE)
Abstract: By employing MMSE (Minimal Mean Squared Error) criteria, the multi-user transceivers in this paper are optimized by adjusting their signatures and demodulations according to interferences around, which can reduce at most the co-interferences from users and minimize the lower bound of MMSE. During the design process, the striking improvements in both convergence and low-complexity are achieved by using matrix-blocking computation theory. And in practice, the designed signature assemble perform rather well than that by capacity-maximizing signature design method (Rose etc.2002) under the additive white Gaussian noise channel. Finally, some simulation results are also provided as proof. -
Causey R T, Barry J R. Blind multiuser detection using linear prediction[J].IEEE J. Select. Areas. Commun.1998, 16(9):1702-1710[2]Madhow U, Honig M L. MMSE interference suppression for direct-sequence spread-Spectrum CDMA[J].IEEE Trans. on Commun.1994, 42(12):3178-3188[3]Xie Z, Short R T, Rushforth C K. A Family of Suboptimum detectors for coherent multiuser communications[J].IEEE J. Select. Areas. Commun.1990, 8(4):683-690[4]Verdu S. Multiuser Detection, Cambridge, U.K.: Cambridge Univ. Press, 1998, Chapter[5]Ricci G, Varanasi M K, Maio A D. Blind multiuser detection via interference identification, IEEE Trans. on Commun., 2002, 50(7): 1172-1181.[6]Rose C, Ulukus S, Yate R D. Wireless systems and interference avoidance[J].IEEE Trans. on Wireless Commun.2002, 1(3):415-428[7]Cover T M, Pombra S. Gaussian feedback capacity[J].IEEE Trans. on Info. Theory.1989, 35(1):37-43[8]Golub G H, Van C F. Matrix Computations, Third Edition, The John Hopkins University Press, 1996, chapter 8, 458-519.[9]Haykin S. Adaptive Filter Theory, Fourth Edition, Pearson Education North Asia Limited and Publishing House of Electronics Industry, 2002, chapter 4, 203-227.[10]張賢達(dá),保錚. 通信信號處理[M]. 北京: 國防工業(yè)出版社, 2000: 57-60. -
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