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Volume 30 Issue 10
Jan.  2011
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Wu Cheng-guang, Deng Bin, Su Wu-ge, Wang Hong-qiang, Qin Yu-liang. ISAR Imaging Method Based on the Bayesian Group-sparse Modeling[J]. Journal of Electronics & Information Technology, 2015, 37(12): 2941-2947. doi: 10.11999/JEIT141624
Citation: Xu Jun, Wang Fu-Ping, Wang Zan-Ji. A Family of New Bussgang Blind Equalization Algorithms[J]. Journal of Electronics & Information Technology, 2008, 30(10): 2369-2372. doi: 10.3724/SP.J.1146.2007.00380

A Family of New Bussgang Blind Equalization Algorithms

doi: 10.3724/SP.J.1146.2007.00380
  • Received Date: 2007-03-19
  • Rev Recd Date: 2007-09-13
  • Publish Date: 2008-10-19
  • This paper introduces a new family of cost function for blind equalization. This cost function family has clear mathematic meanings. This cost function includes the well-know Decision-Directed algorithm, Sato algorithm, CMA algorithm and its mutations. And new Bussgang method can be got by this cost function. This paper presents two new method originated from this cost function. Simulation results verify these two methods convergence.
  • [1] Sato Y. A method of self-recovering equalization formultilevel amplitude-modulation, IEEE Trans. onCommunications, 1975, 23(6): 679-682. [2] 张贤达,保铮. 通信信号处理. 北京:国防工业出版社,2002:270-277. [3] Godard D N. Self-recovering equalization and carrier trackingin two-dimensional data communication systems. IEEETrans. on Communications, 1980, 28(11): 1867- 1875. [4] Destro J B, Joao G F, and Romano M T. New bussgangmethods for blind equalization. IEEE InternationalConference on Acoustics, Speech, and Signal Processing. 1997,3: 2269-2272. [5] Li Xi-lin and Zhang Xian-da. A family of generalized constantmodulus algorithms for blind equalization[J].IEEE Trans. onCommunications.2006, 54(11):1913-1917
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