Magnetic Anomaly Detection Algorithm Based on Fractal Features in Geomagnetic Background
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摘要:
磁异常检测(MAD)是一种应用广泛的被动式目标检测方法,其应用包括水面舰船目标监测、水下移动目标及陆地目标的检测与识别等领域。基于地磁背景下弱磁异常信号的可靠性检测方法研究具有重要的意义,该文在研究地磁背景与磁异常信号分形特征差异的基础上,提出一种基于目标磁异常信号分形特征的单传感器检测方法,并进行实际外场试验验证。试验结果表明:该方法能准确分辨出地磁背景干扰与磁异常信号,并可以在地磁背景噪声中实现弱磁异常信号的检测。
Abstract:Magnetic Anomaly Detection (MAD) is a widely used passive target detection method. Its applications include surface warship target monitoring, underwater moving targets, and land target detection and identification. It is of great significance to research on the reliability detection method of weak magnetic anomaly signals based on geomagnetic background. This paper proposes a single sensor detection method based on the fractal characteristics of target magnetic anomaly signal based on the study of the differences in geomagnetic background and fractal characteristics of magnetic anomaly signals and conducts actual field test verification. The experimental results show that the method can accurately distinguish the geomagnetic background interference and magnetic anomaly signals, and can detect the weak magnetic anomaly signals in the geomagnetic background noise.
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DIMITROPOULOS K, GRAMMALIDIS, GRAGOPOULO I, et al. Detection, tracking and classification of vehicles and aircraft based on magnetic sensing technology[J]. Proceedings of World Academy of Science Engineering & Technology, 2008, 1(4): 195–200. GABELLONE A, FAGGIONI O, SOLDANI M, et al. CAIMAN experiment[C]. Proceedings of the 20th UDT Undersea Defence Technology Europe Conference, Naples, Italy. 2007: 1–13. FAGGIONI O, SOLDANI M, ZUNINO R, et al. Building the synthetic " Mac System”: An analytical integration of magnetic and acoustic subsystems for port protection scenarios[J]. Physical Review, 2009, 54(6): 1739–1746. 穆志海. 水下小目标探测技术研究[D]. [硕士论文], 哈尔滨工程大学, 2012.MU Zhihai. Research on underwater small target detection technology[D]. [Master dissertation], Harbin Engineering University, 2012. 张宁. 基于MAD的水下运动物体航迹测量研究[D]. [硕士论文], 西安电子科技大学, 2008.ZHANG Ning. Research on track measurement of underwater moving objects based on MAD[D]. [Master dissertation], Xidian University, 2008. 韦涛. 水下弱目标被动探测技术研究[D]. [硕士论文], 南京理工大学, 2012.WEI Tao. Research on passive detection technology of underwater weak targets[D]. [Master dissertation], Nanjing University of Science & Technology, 2012. KEIICHI M. Detection of magnetic anomaly signal by applying adjustable weight functions[J]. IEEE Transactions on Magnetics, 1990, 26(2): 1083–1087. doi: 10.1109/20.106508 GINZBURG B, FRUMKIS L, and KAPLAN B Z. Processing of magnetic scalar gradiometer signals using orthonomal functions[J]. Sensors & Actuators A Physical, 2002, 102(1/2): 67–75. doi: 10.1016/S0924-4247(02)00351-5 FAN Yao, FANG Guangyou, and LIU Xiaojun. Parabolic trail OBFs in magnetic anomaly detection[J]. Progress in Electromagnetics Research B, 2017, 74: 23–25. doi: 10.2528/PIERB16091301 LIU Dunge, XU Xin, HUANG Chao, et al. Adaptive cancellation of geomagnetic background noise for magnetic anomaly detection using coherence[J]. Measurement Science & Technology, 2015, 26(1): 1–6. doi: 10.1088/0957-0233/26/1/015008 张坚, 林春生, 邓鹏, 等. 基于小波域OBF分解的磁异常信号检测算法[J]. 弹箭与制导学报, 2011(6): 187–189. doi: 10.3969/j.issn.1673-9728.2011.06.055ZHANG Jian, LIN Chunsheng, DENG Peng, et al. Detection of magnetic anomaly signal based on OBF decomposition in wavelet domain[J]. Journal of Projectiles,Rockets,Missiles and Guidance, 2011(6): 187–189. doi: 10.3969/j.issn.1673-9728.2011.06.055 张坚, 林春生, 黄凡. OBF分解与BP网络在船舶磁场信号检测中的应用[J]. 船电技术, 2011, 31(7): 13–16. doi: 10.3969/j.issn.1003-4862.2011.07.004ZHANG Jian, LIN Chunsheng, and HUANG Fan. Application of OBF decomposition and BP neural network to magnetic signal detection of a ship[J]. Marine Electric, 2011, 31(7): 13–16. doi: 10.3969/j.issn.1003-4862.2011.07.004 SHEINKER A, GINZBURG B, SALOMONSKI N, et al. Magnetic anomaly detection using high-order crossing method[J]. IEEE Transactions on Geoscience & Remote Sensing, 2012, 50(4): 1095–1103. doi: 10.1109/TGRS.2011.2164086 SHEINKER A, FRUMKIS L, GINZBURG B, et al. Magnetic anomaly detection using a three-axis magnetometer[J]. IEEE Transactions on Magnetics, 2009, 45(1): 160–167. doi: 10.1109/TMAG.2008.2006635 SHEINKER A, SALOMONSKI N, GINZBURG B, et al. Magnetic anomaly detection using entropy filter[J]. Measurement Science and Technology, 2008, 19(4): 045205. doi: 10.1088/0957-0233/19/4/045205 SHEINKER A, SHKALIM A, SALOMONSKI N, et al. Processing of a scalar magnetometer signal contaminated by 1/f α noise[J]. Sensors and Actuators A: Physical, 2007, 138(1): 105–111. doi: 10.1016/j.sna.2007.04.018 LEONCINI D, DECHERCHI S, FAGGIONI O, et al. A preliminary study on SVM based analysis of underwater magnetic signals for port protection[J]. Computational Intelligence in Security for Information Systems, 2009, 63: 37–44. doi: 10.1007/978-3-642-04091-7_5 LEONCINI D, DECHERCHI S, ROMA S, et al. Linear SVM for underwater magnetic signals based port protection[J]. Journal of Information Assurance and Security, 2010, 5: 401–408. DECHERCHI S, LEONCINI D, GASTALDO P, et al. Computational intelligence methods for underwater magnetic-based protection systems[C]. Proceedings of International Joint Conference on Neural Networks, San Jose, USA, 2011: 238–245. doi: 10.1109/IJCNN.2011.6033227. 朱华, 姬翠翠. 分形理论及其应用[M]. 北京: 科学出版社, 2011: 24–31.ZHU Hua and JI Cuicui. Fractal Theory and Its Applications[M]. Beijing: Science Press, 2011: 24–31. 赵健, 雷蕾, 蒲小勤. 分形理论及其在信号处理中的应用[M]. 北京: 清华大学出版社, 2008: 3–7.ZHAO Jian, LEI Lei, and PU Xiaoqin. Fractal Theory and Its Application in Signal Processing[M]. Beijing: Tsinghua University Press, 2008: 3–7.