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一種移動(dòng)通信中的低復(fù)雜度盲信噪比估計(jì)算法

李晉 華驚宇 尤肖虎

李晉, 華驚宇, 尤肖虎. 一種移動(dòng)通信中的低復(fù)雜度盲信噪比估計(jì)算法[J]. 電子與信息學(xué)報(bào), 2006, 28(6): 1054-1058.
引用本文: 李晉, 華驚宇, 尤肖虎. 一種移動(dòng)通信中的低復(fù)雜度盲信噪比估計(jì)算法[J]. 電子與信息學(xué)報(bào), 2006, 28(6): 1054-1058.
Li Jin, Hua Jing-yu, You Xiao-hu. A Low Complexity Blind SNR Estimator in Mobile Communication[J]. Journal of Electronics & Information Technology, 2006, 28(6): 1054-1058.
Citation: Li Jin, Hua Jing-yu, You Xiao-hu. A Low Complexity Blind SNR Estimator in Mobile Communication[J]. Journal of Electronics & Information Technology, 2006, 28(6): 1054-1058.

一種移動(dòng)通信中的低復(fù)雜度盲信噪比估計(jì)算法

A Low Complexity Blind SNR Estimator in Mobile Communication

  • 摘要: 信噪比估計(jì)器(Signal-to-Noise Ratio Estimator,SNRE)可用于移動(dòng)通信中的多個(gè)領(lǐng)域,例如LDPC碼軟譯碼器中就需要信道信噪比以用于計(jì)算接收碼字的先驗(yàn)信息。該文在一種加性白高斯噪聲(Additive White Gaussian Noise,AWGN)信道中在線SNRE的基礎(chǔ)上,推出一種低復(fù)雜度的衰落信道盲信噪比估計(jì)器 (Fading channel Blind SNRE,F(xiàn)BSNRE)。仿真結(jié)果表明FBSNRE在應(yīng)用于LDPC碼譯碼器時(shí)具有較好的性能。
  • Andersim M, Mandayam N B, Yates R D. Subspace based SIR estimation for TDMA cellular systems[J].Wireless Networks.1998, 4(3):241-[2]Ramakrishna D, Mandayam N B, Yates R D. Subspace-based SIR estimation for CDMA cellular systems[J].IEEE Trans. on Vehicular Technology.2001, 49(5):1732-[3]Reed M C, Asenstorfer J. A novel variance estimator for turbo-code decoding. Proc. Int. Conf. on Telecommunications,Melbourne, Australia, April 1997: 173.178.[4]Summers T A, Wilson S G. SNR mismatch and online estimation in turbo decoding[J].IEEE Trans. on Communications.1998, 46(4):421-[5]Takizawa K, Sasaki S, Zhou J, et al. Online SNR estimation for parallel combinatorial SS systems in Nakagami fading channels. Proc. Of GLOBECOM02, Taipei, Taiwan, Nov. 2002: 1239.1243.[6]Ramesh A, Chockalingam A, Milstein L B. SNR estimation in generalized fading channels and its application to Turbo decoding. 2001 International Conference on Communication, Helsinki, Finland, 2001, 4: 1094.1098.[7]Gallager R G. Low-density parity-check codes[J].IEEE Trans. on Inform. Theory.1962, 8:21-[8]Mackay D J C. Good error-correcting codes based on very sparse matrices[J].IEEE Trans. on Inform. Theory.1999, 45(2):399-[9]Chen J H, Fossorier M. Near optimal universal belief propagation based decoding of low-density parity check codes[J].IEEE Trans. on Communications.2002, 50(3):406-
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  • 收稿日期:  2004-11-01
  • 修回日期:  2005-05-30
  • 刊出日期:  2006-06-19

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