基于分数间隔的四二阶归一化累积量盲均衡算法 |
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引用本文: | 张晓琴,胡永生,张立毅. 基于分数间隔的四二阶归一化累积量盲均衡算法[J]. 数学的实践与认识, 2014, 0(18) |
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作者姓名: | 张晓琴 胡永生 张立毅 |
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作者单位: | 天津商业大学信息工程学院;天津大学电子信息工程学院;滨州学院信息工程系; |
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摘 要: | 针对目前分数间隔盲均衡算法存在的缺陷,提出了基于分数间隔的四二阶归一化累积量盲均衡算法.先对接收信号进行分数间隔采样,然后利用四二阶归一化累积量将盲均衡算法归结为无约束的极值问题,从而简化了算法,加快了收敛速度,降低了误码率.仿真验证了算法的有效性.
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关 键 词: | 分数间隔 盲均衡 归一化 累积量 |
Forth-second Order Normalized Cumulant Blind Equalization Algorithm Based on Fractionally Spaced Sampling |
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Abstract: | Aiming at the defects of the fractionally spaced blind equalization algorithm,the forth-second order normalized cumulant blind equalization algorithm is proposed in this paper.The received signal is fractionally spaced sampled firstly,then the forth-second order normalized cumulant is used to convert blind equalization algorithm into a unconstrained extreme problem,which simplifies the algorithm,accelerates the convergence rate and reduces the error rate.The simulations verified the effectiveness of the new algorithm. |
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Keywords: | fractionally spaced blind equalization normalized cumulant |
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