Feasibility Analysis of Weak Transient Electromagnetic Signals Detection Containing Narrow-band Interference Based on the Chaotic One-step Prediction Method

ZHANG Yue; LIU Shanghe; HU Xiaofeng; LIU Weidong; LI Hui

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Feasibility Analysis of Weak Transient Electromagnetic Signals Detection Containing Narrow-band Interference Based on the Chaotic One-step Prediction Method

更新时间：2025-12-08

- Feasibility Analysis of Weak Transient Electromagnetic Signals Detection Containing Narrow-band Interference Based on the Chaotic One-step Prediction Method
- Vol. 44, Issue 6, Pages: 2067-2073(2018)
- 作者机构：
  
  1. 中国人民解放军31632部队
  2. 陆军工程大学电磁环境效应国家级重点实验室
  3. 中国人民解放军63783部队
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published Online：10 July 2018，
  
  Published：2018
- 稿件说明：
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ZHANG Yue, LIU Shanghe, HU Xiaofeng, et al. Feasibility Analysis of Weak Transient Electromagnetic Signals Detection Containing Narrow-band Interference Based on the Chaotic One-step Prediction Method[J]. 2018, 44(6): 2067-2073.
DOI：

ZHANG Yue, LIU Shanghe, HU Xiaofeng, et al. Feasibility Analysis of Weak Transient Electromagnetic Signals Detection Containing Narrow-band Interference Based on the Chaotic One-step Prediction Method[J]. 2018, 44(6): 2067-2073. DOI：

摘要

针对远距离探测中强背景噪声及频率跳变窄带噪声难以在滤波环节被抑制这一难题

提出利用混沌单步预测算法对微瞬态电磁辐射信号进行检测并验证了其可行性。仿真分析了含窄带干扰的测试背景信号对混沌序列特征量及混沌预测精度的影响

仿真结果发现微弱窄带干扰和随机噪声叠加至混沌信号内不会驱动其进入下一个非混沌相态

且预测精度没有被大强度削弱。实验采集放电信号

对混沌单步预测法的预测精度与检测准确率进行了计算

检测误差在合理范围内

且检测准确率达95.8%。可见

预测法具有较强的抗窄带噪声能力

在实际工程应用中

可用于放电故障点等放电源的精确定位。

Abstract

In order to solve the problem that it is difficult to restrain the strong background noise and the frequency hopping interference

we proposed and verified the detection of weak transient electromagnetic signal based on the chaotic one-step prediction method. Moreover

we analyzed and simulated the influences of test background noise containing narrow-band interference on chaotic sequence characteristic parameters and chaotic predicted precision. The simulation results show that the background noise can not drive the chaos system to the next non-chaotic phase state

and the predicted precision can not be weakened strongly. The discharge signal was collected in the experiment

and the predicted precision and accuracy rate of chaotic one-step were calculated. The results show that detection error is in the reasonable scope

and the accurate rate is more than 95.8%. Therefore

the one-step prediction method has strong noise immunity. In the practical engineering application

the proposed method can be applied in the remote location of discharge failure point and other discharge sources.

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Related Institution

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