| 基于概率密度函数的低复杂度盲均衡算法 |
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| 引用本文： | 张成榆,林斌,刘人杰.基于概率密度函数的低复杂度盲均衡算法[J].大连海事大学学报(自然科学版),2008,34(3). |
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| 作者姓名： | 张成榆 林斌 刘人杰 |
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| 作者单位： | 大连海事大学信息工程学院，大连海事大学信息工程学院，大连海事大学信息工程学院 辽宁大连116026，中国网通(集团)有限公司大连分公司，辽宁大连116001，辽宁大连116026，辽宁大连116026 |
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| 基金项目： | 交通部交通应用基础研究基金 |
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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.
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| 关 键 词： | 盲均衡算法 Parzen窗 概率密度函数 码间干扰(ISI) |
Law complexity blind equalization algorithm based on probability density function |
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| ZHANG Cheng-yu,LIN Bin,LIU Ren-jie.Law complexity blind equalization algorithm based on probability density function[J].Journal of Dalian Maritime University,2008,34(3). |
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| Authors: | ZHANG Cheng-yu LIN Bin LIU Ren-jie |
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| Abstract: | 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. |
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| Keywords: | blind equalization algorithm Parzen window probability density function inter symbol interference |
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