广义互相关电晕放电辐射信号时延估计方法

胡小锋; 刘卫东; 王雷; 魏明; 张悦

doi:10.11884/HPLPB201830.170270

广义互相关电晕放电辐射信号时延估计方法

doi: 10.11884/HPLPB201830.170270

陆军工程大学石家庄校区静电与电磁防护研究所, 石家庄 050003

基金项目:

国家自然科学基金面上项目 51777213

详细信息

作者简介:
胡小锋(1977—), 男, 博士, 副教授, 主要从事静电与电磁测试技术研究；snowfox2270@163.com

中图分类号: TN911.23
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- 被引次数: 0
出版历程
- 收稿日期: 2017-06-29
- 修回日期: 2017-10-09
- 刊出日期: 2018-01-15

Time-delay estimation of corona discharge radiation signal based on generalized cross correlation

Institute of electrostatic and Electromagnetic Protection, Shijiazhuang Campus of Army Engineering University, Shijiazhuang 050003, China

摘要

摘要: 电晕放电等辐射源定位多采用基于时延估计的时差定位方法实现的，在现场条件下，各种背景噪声和干扰对时延估计精度造成影响。在分析国内外研究动态的基础上，针对基本互相关时延估计存在的分辨率低、稳健性不高等局限性，研究基于广义互相关的时延估计算法，并且通过采用不同的权值函数进行仿真比较和实验验证，寻找适用于电晕放电辐射信号时延估计的方法。研究表明：基于Hassab-Boucher (HB)加权的广义互相关时延估计方法对实际测试环境中存在的周期性干扰具有较好的抑制效果，时延估计误差达4.5%，精度较高，在实际的工程应用中用于对电晕放电信号进行时延估计和远距离定位是可行的。
- 电晕放电 /
- 广义互相关 /
- Hassab-Boucher加权法 /
- 时延估计
Abstract: The orientation of corona discharge radiant point was mostly realized by time difference orientation method based on the time-delay estimation. On the testing locales, the precision of the time-delay estimation was influenced by various background noise and interferential signals. The time-delay estimation method of generalized cross correlation was researched in this paper based on analyzing the domestic and international research dynamic state, which aimed at the localization of the basic cross correlation time-delay estimation, such as the low resolution definition and the weak robustness, etc. The time-delay estimation method which was suitable for the corona discharge radiation signal was searched by simulation comparing and experiment validating based on adopting different weight function. The research indicated that the time-delay estimation method of generalized cross correlation based on weighted Hassab-Boucher (HB) had the best restraining effect and highest precision for the periodicity interferential signals in the reality testing environment, and the error of the time-delay estimation was 4.5%. It was feasible to carry out the time-delay estimation and far distance orientation of the corona signals in the actual engineering application.
- corona discharging /
- generalized cross correlation /
- Hassab-Boucher weighting method /
- time-delay estimation

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图 1 广义互相关时延估计流程

Figure 1. Time-delay estimation process based on generalized cross correlation

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图 2 两路仿真实测信号

Figure 2. Two simulation signals

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图 3 基本互相关法(CC)时延估计结果(τ=199 ns)

Figure 3. Time-delay of CC estimation(τ=199 ns)

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图 4 GCC-Roth法时延估计结果(τ=201 ns)

Figure 4. Time-delay of GCC-Roth estimation(τ=201 ns)

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图 5 GCC-Scot法时延估计结果(τ=200.4 ns)

Figure 5. Time-delay of GCC-Scot estimation(τ=200.4 ns)

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图 6 GCC-Phat法时延估计结果(τ=200.6 ns)

Figure 6. Time-delay of GCC-Phat estimation(τ=200.6 ns)

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图 7 GCC-HB法时延估计结果(τ=200 ns)

Figure 7. Time-delay of GCC-HB estimation(τ=200 ns)

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图 8 实验设置

Figure 8. Experimental setup

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图 9 两路实测电晕放电辐射信号

Figure 9. Two measurement signals

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图 10 基本互相关法(CC)时延估计结果(τ=25.6 ns)

Figure 10. Time-delay of CC estimation(τ=25.6 ns)

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图 11 GCC-HB法时延估计结果(τ=31.8 ns)

Figure 11. Time-delay of GCC-HB estimation(τ=31.8 ns)

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