基于滑窗数据和过零检测的正弦频率估计新方法
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  • 英文篇名:New Method of Sinusoidal Frequency Estimation Based on Moving Window Data and Zero Crossing Detection
  • 作者:戴光华 ; 肖治庭 ; 乐艳丽 ; 何成伟
  • 英文作者:DAI Guanghua;XIAO Zhiting;LE Yanli;HE Chengwei;Academy of Information Communication,National University of Defense Technology;Air Force Early Warning Academy;
  • 关键词:频率估计 ; 过零检测 ; 滑窗数据
  • 英文关键词:frequency estimation;;zero crossing detection;;moving window
  • 中文刊名:KJGC
  • 英文刊名:Journal of Air Force Engineering University(Natural Science Edition)
  • 机构:国防科技大学信息通信学院;空军预警学院;
  • 出版日期:2019-04-25
  • 出版单位:空军工程大学学报(自然科学版)
  • 年:2019
  • 期:v.20;No.115
  • 基金:国家自然科学基金(61871397)
  • 语种:中文;
  • 页:KJGC201902010
  • 页数:6
  • CN:02
  • ISSN:61-1338/N
  • 分类号:70-75
摘要
过零检测法计算量小、实现方便,在正弦信号频率估计中有着广泛应用,但是在频率估计时易受随机噪声影响。为降低随机噪声对频率估计性能的影响,提出一种基于滑窗数据和过零检测的正弦频率估计新方法。首先,利用观测数据构造出多组滑窗数据,并应用过零检测法,获得多组频率预估计结果;然后通过门限处理剔除掉预估计结果中的频率野值点;最后将频率均值作为最终的估计结果。详细讨论了数据长度、滑动次数、相邻2次滑动的点数、采样频率等因素对频率估计的影响,结果表明新方法能够改善正弦信号的频率估计性能,数值仿真和实测数据均验证了其有效性。
        Although the zero crossing detection algorithm is being applied widely in frequency estimation of a single sinusoid for its low computation and for the convenience of realization,the zero crossing method is easily effected by the stochastic noise in the frequency estimation performance. In order to solve this problem, a new method is presented based on moving window data and zero crossing detection. Firstly, the multi-groups moving window data are obtained from the observation data; Secondly, the pre-estimated frequency values are obtained by using the zero crossing detection algorithm in multi-groups moving window data; Then, the outliers of frequency values are removed by threshold processing. Finally, the average value is confirmed as an estimated result. A series of frequency estimation factors are discussed in detail, such as data length, slipping times, adjoining sliding point number and sampling frequency. The result shows that the proposed method can improve the performance of frequency estimation. And the new method is feasible.
引文
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