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基于概率密度函数的低复杂度盲均衡算法 被引量:1

Low complexity blind equalization algorithm based on probability density function
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摘要 为降低基于Parzen窗随机盲均衡(SQD)算法在传输信号采用高频带利用率QAM信号时的计算复杂度,提出一种低复杂度SQD算法(LCSQD).将判决区域从整个星座修改为一个以均衡器输出为圆心,半径为可调的圆,计算量较少,并且不会随QAM阶数的增加而增加.采用16QAM和64QAM调制信号测试了不同判决半径时LCSQD算法的性能.结果表明,两种算法的稳态剩余ISI相接近时,LCSQD算法的收敛速度快于SQD算法. The blind equalization algorithm based on Parzen window method (SQD algorithm) has high computational complexity when systems use high bandwidth-efficiency quardrature amplitude modulation (QAM). A low complexity SQD algorithm (LCSQD) was developed. The judged region of the proposed algorithm was changed from the whole constellation to a circular region of the constellation, whose center was the equalization output and radius could be adjusted experimentally, and which leaded to a low computational requirement. Simulations for 16QAM and 64QAM show that the proposed algorithm has a faster convergence speed than that of SQD algorithm when the residual ISI is the same.
出处 《大连海事大学学报》 EI CAS CSCD 北大核心 2008年第3期43-45,50,共4页 Journal of Dalian Maritime University
基金 交通部应用基础研究资助项目(2005329225060)
关键词 盲均衡算法 PARZEN窗 概率密度函数 码间干扰(ISI) blind equalization algorithm Parzen window probability density function inter symbol interference
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参考文献9

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二级参考文献8

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共引文献2

同被引文献9

  • 1林斌,张成榆,王百锁.概率密度函数的并行软方向判决盲均衡算法[J].大连海事大学学报,2007,33(1):90-93. 被引量:3
  • 2Lin B,He R., Wang X, Wang, Excess B. MSE analysis of the concurrent constant modulus algorithm and soft decision directed scheme for blind equalization[J]. IET Signal Process., 2008,2: 147- 155.
  • 3Lin B.,. He R,. Wang X, Wang B. The excess mean square error analyses for Bussgang algorithm[J]. IEEE Signal Processing Letters, 2008,15: 793-796.
  • 4Godard D.Self-recovering equalization and carrier tracking in two-dimensional data communication systems[J].IEEE Trans. on Communications, 1980, 28:1867-1875.
  • 5Johnson R., et al..Blind equalization using the constant modulus criterion: a review[J].Proc. IEEE, 1998, 86:1927-1950.
  • 6Picehi G., Prati G..Blind equalization and carrier recovering using a 'stop-and-go' decision directed algorithm[J]. IEEE Trans. on Communication, 1987., 35: 877-887.
  • 7Chen S.. Low complexity concurrent constant modulus algorithm and soft decision directed scheme for blind equalization[J]. IEE Proc Vis Image Signal Process, 2003, 150: 312-320.
  • 8Cheolwoo You and Daesik Hong. Nonlinear blind equalization schemes using complex-valued multilayer feed forward neural networks[J].EEE Trans. on Signal Processing, 1998, 9: 1442-1455.
  • 9孙守宇,郑君里,徐忠勇,张琪.修正恒模算法分数间隔盲均衡[J].电子学报,2003,31(11):1732-1735. 被引量:5

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