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非高斯噪声下基于EM迭代算法的多用户检测分析 被引量:1

Multi-user Detection Analysis Based on the EM Iterative Algorithm in Non-Gaussian Noise
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摘要 在进行信号传输时,由于各种干扰的存在,不可避免地产生误码(也称缺失信号),而EM算法是近些年来常用的求解缺失数据时的迭代算法,由于EM算法简单易行性与普遍适用性的特点,提出了基于EM迭代算法的多用户检测方法,仿真环境放在非高斯噪声下,对在两种非高斯噪声与高斯噪声下的EM算法的性能与收敛特性做一比较分析,实验结果显示在非高斯噪声下误码性能较差,但是收敛性变化不大具有鲁棒性。 Because of the different interference in existence,signal will be inevitably eroded while transmitting.The EM iterative algorithm is commonly used in recent years for missing data,which has the character of easy and popular applicability.So based on the EM iterative algorithm multi-user detection is proposed.In non-Gaussian noise simulation numerical is carried out,the results show that the proposed algorithm has bad performance in non-Gaussian noise,but convergence of variations less with robustness.
出处 《舰船电子工程》 2011年第3期167-169,173,共4页 Ship Electronic Engineering
基金 河南工业大学校科研基金项目(编号:09XPT003)资助
关键词 多用户检测 非高斯噪声 EM算法 ulti-user detection non-Gaussian noise EM iterative algorithm
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参考文献7

  • 1C.L. Nikias, M. Shao. Signal Processing with Alpha- stable Distribution and Applications[M]. New York: John Wiley&Sons, Inc. , 1995.
  • 2M. Feder, E. Weinstein. Parameter estimation of superimposed signals using the EM algorithm[J]. IEEE Trans. Acoust. , Speech, Signal Processing, 1988, 36 (4) :477-489.
  • 3Mohammad Jaber Borran, Masoumeh Nasiri-Kenari. An Efficient Detection Technique for Synchronous CD- MA Communication Systems Based on the Expectation Maximization Algorithm [J]. IEEE Transactions on Vehicular Technology, 2000,49 ( 5 ) : 1663 -1668.
  • 4Laurie B. Nelson, H. Vincent Poor. herative Multiuser Receivers for CDMA Channels: An EM-Based Ap-proach[J]. IEEE Transactions on Communications, 1996,44(12) : 1700-1710.
  • 5Alexander Kocian, Bernard H. Fleury. EM-Based Joint Data Detection and Channel Estimation of DS-CD- MA Signals [J]. IEEE Transactions on Communications, 2003,51 (10) .. 1709-1720.
  • 6Xiaodong Wang, H. Vincent Poor. Wireless Communication Systems Advanced Tevhniques for Signal Reception[M].郑宝玉,等译.北京:电子工业出版社,2005:161-166.
  • 7M.J. Borran, M. Nasiri-Kenari. An Efficient Detection Technique for Synchronous CDMA Communication Systems Based on the Expectation Maximization Algorithm[J]. IEEE Transactions on Vehicular Technology,2000,49(5):1663-1667.

同被引文献11

  • 1JuhaHeiskala,JohnTerry.OFDM无线局域网[M].北京:北京电子工业出版社,2003.
  • 2Proakis J G. Digital Communications ( Third Edition) [J]. New York: McGraw-Hill,1995.
  • 3X. Wang, H. V. Poor. Iterative(turbo) soft interference cancellation and decoding for coded CDMA[J]. IEEE Transactions on Communications, 1999,47(7) : 1046- 1061.
  • 4A. Paulraj, P,. Nabar, D. Gore Introduction toSpacetimeWireless Communications[M]. K. Cambridge Univ. Press, 2003.
  • 5D. Seethaler, G. Matz, F. Hlawatsch. An efficient MMSE- based demodulator for MIMO bit-interleaved coded modulation [C]//IEEE Globecom 2004. Dallas, Texas, USA, 2004, 4: 2455 -2459.
  • 6S. Ahmed, T. Ratnarajah, M. Sellathurai, et al. Iterative receivers for MIMO-OFDM and their convergence behavior[J]. IEEE Trans on Vehicular Technology, 2009,58(1):461-468.
  • 7J. Ylioinas, M. Juntti. Iterative joint detection, decoding, and ehannel estimation in turbo-coded MIMO-OFDM [J]. IEEE Trans on Vehicular Technology, 2009,58(4) : 1784- 1796.
  • 8P. Robertson, P. Hoeher. Optimal and sub optimal maximum a posteriori algorithms suitable for turbo decoding[J]. European Transactions on Telecommun. March-April,1997:119-125.
  • 9Malthew C. Valenti. Iterative detection and decoding for wireless communication[M]. Blacksburge. Virginia for Doctor of Philosophy Degee, 1988,9.
  • 10Baoming Bai, Xinmei Wang. A low-complexity decoding algorithm for turbo codes[J]. Chinese Journal of Electronics, 2000,9(3) :305-308.

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