Characteristics Analysis of Magnetic Anomaly Signals in Airborne Magnetic Anomaly Detection

被引:0
|
作者
Zhou, Jiaxin [1 ]
Chen, Jianyong [2 ]
Shan, Zhichao [2 ]
Chen, Changkang [2 ]
机构
[1] Naval Inst Hydrog Surveying & Charting, Tianjin 300061, Peoples R China
[2] Naval Aeronaut & Astronaut Univ, Dept Elect & Informat Engn, Yantai 264001, Peoples R China
基金
中国国家自然科学基金;
关键词
Airborne magnetic anomaly detection; characteristic analysis; time-domain waveform structure; zero-crossing; peak-to-peak amplitude distribution; wavelength difference; wave area;
D O I
10.1145/3158233.3159380
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A high sensitivity optical pumping magnetometer is used to detect the magnetic anomaly signal in the space generated by a ferromagnetic target for the airborne magnetic anomaly detection system. Since the features of magnetic anomaly signals of the target at high altitude are less known, the detection distance of the traditional airborne magnetic anomaly detection system for the target is near, and the detection probability is low and the detection effectiveness is limited. In order to improve the detection performance of airborne magnetic anomaly detector, it is necessary to analyze the characteristics of the magnetic anomaly signal at high altitude. The time domain characteristics of the magnetic anomaly signal are analyzed by the measured noise and the target signal data, including the zero-crossing characteristic, the peak-to-peak amplitude distribution, the wavelength difference and the wave area. The results show that a significant difference of the characteristics between the target signal and the noise exists. The difference provides a mean to improve the detector performance.
引用
收藏
页码:229 / 233
页数:5
相关论文
共 50 条
  • [1] Frequency Characteristics Analysis for Magnetic Anomaly Detection
    Wang, Jiazeng
    Jiang, Zekun
    Gao, Junqi
    Zhao, Shuxiang
    Zhai, Wenmin
    Shen, Ying
    [J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 19
  • [2] Detection range of airborne magnetometers in magnetic anomaly detection
    Air and Missile Defense College, Air Force Engineering University, Xi'an
    710051, China
    不详
    84105, Israel
    [J]. J. Eng. Sci. Technol. Rev., 4 (105-110):
  • [3] Airborne Magnetic Anomaly Navigation
    Canciani, Aaron
    Raquet, John
    [J]. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2017, 53 (01) : 67 - 80
  • [4] Airborne Maritime Surveillance Using Magnetic Anomaly Detection Signature
    Sithiravel, Rajiv
    Balaji, Bhashyam
    Nelson, Bradley
    McDonald, Michael Kenneth
    Tharmarasa, Ratnasingham
    Kirubarajan, Thiagalingam
    [J]. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2020, 56 (05) : 3476 - 3490
  • [5] Research on Joint Estimation and Detection of Submarine Target in Airborne Magnetic Anomaly Detection
    航空磁探中潜艇目标的联合估计检测方法研究
    [J]. Chen, Jian-Yong (cjy166@126.com), 2018, China Ordnance Industry Corporation (39):
  • [6] Research and detection of magnetic anomaly signals of moving vehicles at different speeds
    Wang, Yao
    Shao, Jianda
    Hu, Guohang
    Liu, Xiaofeng
    Zhang, Kaixin
    [J]. Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics, 2020, 46 (06): : 1125 - 1132
  • [7] Magnetic anomaly detection of moving objects
    Tzannetou, Lida
    Bakoglou, Eleftherios
    Priftis, Panagiotis
    Angelopoulos, Spyridon
    Ktena, Aphrodite
    Hristoforou, Evangelos
    [J]. PHYSICA B-CONDENSED MATTER, 2024, 676
  • [8] A brief review of magnetic anomaly detection
    Zhao, Yue
    Zhang, Junhai
    Li, Jiahui
    Liu, Shuangqiang
    Miao, Peixian
    Shi, Yanchao
    Zhao, Enming
    [J]. MEASUREMENT SCIENCE AND TECHNOLOGY, 2021, 32 (04)
  • [9] Magnetic Anomaly Detection in Ferromagnetic Material
    Atzlesberger, J.
    Zagar, B. G.
    [J]. PIERS 2011 SUZHOU: PROGRESS IN ELECTROMAGNETICS RESEARCH SYMPOSIUM, 2011, : 130 - 134
  • [10] Inversion of Target Magnetic Moments Based on Scalar Magnetic Anomaly Signals
    Zhang, Ke
    You, Xiuzhi
    Liu, Xiaodong
    Liu, Jiarui
    Zhu, Wanhua
    [J]. ELECTRONICS, 2023, 12 (24)