Radio Frequency Interference Simulation and Detection in the Range-Doppler Map for Over-the-Horizon Radar

LUO Zhong-tao; YAN Mei-hui; LU Kun; XIA Hang

doi:10.12263/DZXB.20210402

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Radio Frequency Interference Simulation and Detection in the Range-Doppler Map for Over-the-Horizon Radar

PAPERS | 更新时间：2025-12-08

- Radio Frequency Interference Simulation and Detection in the Range-Doppler Map for Over-the-Horizon Radar
- ACTA ELECTRONICA SINICA Vol. 50, Issue 5, Pages: 1174-1180(2022)
- 作者机构：
  
  1.重庆邮电大学通信与信息工程学院, 重庆 400065
  2.南京电子技术研究所, 江苏南京 210013
- 作者简介：
- 基金信息：
- DOI：10.12263/DZXB.20210402
  CLC： TN958.93
- Received：28 March 2021，
  
  Revised：2021-10-28，
  
  Published：25 May 2022
- 稿件说明：
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罗忠涛,严美慧,卢琨等.超视距雷达中射频干扰仿真与距离-多普勒图检测方法[J].电子学报,2022,50(05):1174-1180.

LUO Zhong-tao,YAN Mei-hui,LU Kun,et al.Radio Frequency Interference Simulation and Detection in the Range-Doppler Map for Over-the-Horizon Radar[J].ACTA ELECTRONICA SINICA,2022,50(05):1174-1180.
罗忠涛,严美慧,卢琨等.超视距雷达中射频干扰仿真与距离-多普勒图检测方法[J].电子学报,2022,50(05):1174-1180. DOI： 10.12263/DZXB.20210402.

LUO Zhong-tao,YAN Mei-hui,LU Kun,et al.Radio Frequency Interference Simulation and Detection in the Range-Doppler Map for Over-the-Horizon Radar[J].ACTA ELECTRONICA SINICA,2022,50(05):1174-1180. DOI： 10.12263/DZXB.20210402.

摘要

超视距雷达存在射频干扰(Radio Frequency Interference

RFI)问题，尤以遍布全距离-多普勒(Range-Doppler

RD)图的宽带RFI影响最大.本文给出宽带RFI的仿真方法和基于RD图的RFI检测方法.首先，基于自回归滑动平均模型仿真宽带RFI，模拟实测RFI的时频特性和RD图形态.其次，基于图像分类思想，研究RD图宽带RFI检测器，通过提取RD图纹理特征，运用模式识别，实现RD图有无宽带RFI的分类.图库设计以仿真RFI数据的RD图库作训练集，以实测数据的RD图库作测试集，识别算法以K近邻为例.实验仿真3种纹理特征、5种距离度量及有无海杂波等多种组合，检测性能统计表明，适当设计的干扰识别率普遍能达到96%以上，验证了本文所提的干扰仿真与检测方法的有效性.

Abstract

Over-the-horizon radar(OTHR) is often threatened by radio frequency interference(RFI)

among which the wideband RFI spreading all over the range-Doppler(RD) map is the worst. This paper proposes the methods for RFI simulation and wideband RFI detection based on the RD map. Firstly

based on the auto-regressive and moving-average model

the RFI signal is simulated and can imitate the real RFI characteristics in the time-frequency domain and the RD map. Secondly

by the idea of image classification

the wideband RFI detector is designed based on the RD map. Its guideline is: based on the RD maps

extract their texture features and use pattern recognition algorithms to classify whether the RD map has any wideband RFI. For the RD image datasets

the simulated RFI data is used for the training dataset

while the real data is used for the testing dataset. The K-nearest neighbor(KNN) algorithm is employed as an example for classification. The experiments investigate three kinds of texture features

five kinds of distance measurements

and whether the sea clutter is cancelled. The results show the accuracy of a proper design is generally higher than 96%

which demonstrates the effectiveness of the proposed methods for RFI simulation and detection.

关键词

Keywords

references

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