基于累积量的混合信号识别算法性能分析
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西南电子电信技术研究所

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国家高技术研究发展计划(863计划)


Performance Analysis for Cumulant-Based Identification Algorithm of Mixed Signals
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Research Institute of Electronic and Telecommunication Technology of Southwest China

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The National High Technology Research and Development Program of China (863 Program)

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    摘要:

    为提高存在定时误差条件下基于累积量特性的混合信号识别算法性能,本文给出了一种修正的混合信号识别算法。通过将混合信号模型代入累积量表达式,定量分析过采样率、定时偏差、基带成型脉冲函数对识别性能的影响,优化影响算法性能的关键参数实现途径,从而给出具有更高稳定性、更好识别率的修正算法。计算机仿真结果验证了修正算法的有效性。

    Abstract:

    In order to improve the performance of cumulant-based identification algorithm existing timing error, a modified algorithm which has better stability and higher recognition probability is presented. Firstly, model of mixed signals is used in cumulant expression. Then, effects of unknown parameters, such as over sampling ratio, timing error and based-band pulse-shaping function are all analyzed quantitatively. Further, an improving method which can reduce the effects of factors that affect performance of recognition obviously is given. The experiment results show the validity of the modified algorithm.

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瞿孟虹.基于累积量的混合信号识别算法性能分析[J].数据采集与处理,2013,28(3):

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  • 收稿日期:2012-09-14
  • 最后修改日期:2013-11-07
  • 录用日期:2013-05-27
  • 在线发布日期: 2014-01-08