航空磁探中潜艇目标的联合估计检测方法研究
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摘要
为了解决航空磁探测中水下潜艇目标信号被强磁背景噪声和干扰淹没的问题,提出一种联合估计检测方法。针对潜艇目标基于磁偶极子建立目标磁场光泵测量信号模型,确定了目标信号模型主要由位置三分量x、y、z,目标磁矩三分量Mx、My、Mz以及航向角θ等7个未知参量决定。使用光泵磁探仪的观测样本,根据潜艇目标先验信息,基于遗传算法使用Fréchet距离构造适应度函数,搜索得到目标未知参量。根据生成的目标估计信号,构造了平均相关检验统计量,并设计了使用目标估计信号的联合估计检测器。研究结果表明:联合估计检测器在低信噪比条件下仍具有良好的检测能力;相对于传统的正交分解检测和动目标航空磁异常检测,使用目标估计信号的联合估计检测器能够降低虚警概率,提高信噪比,使检测性能更优。
To solve the problem that underwater submarine target signals are corrupted by the strong magnetic background noise and interrupter in the aeromagnetic anomaly detection,a joint estimation detection method is proposed. A signal model of target measured by optical pump magnetometer is established for submarine target based on magnetic dipole. The target signal model is determined by 7 unknown parameters: position vector x,y,z,magnetic moment vector Mx,My,Mz,and course angle θ. According to the observation sample,the unknown parameters are searched by genetic algorithm and the prior information of submarine target,and the fitness function is constructed by Fréchet distance. Then the test statistic of mean correlation is proposed based on the target estimated signal,and the correlation detector using target estimated signal is designed. The performance analysis using measurement data shows that the detector is still with good detection performance in the low signal-to-noise ratio condition. Compared with the traditional detection based on decomposition of orthonormal basis and the aeromagnetic anomaly detection for moving target,the performance of the joint estimator and detector using target estimated signal is better,and it can improve the signal-to-noise ratio and reduce the false alarm probability.
To solve the problem that underwater submarine target signals are corrupted by the strong magnetic background noise and interrupter in the aeromagnetic anomaly detection,a joint estimation detection method is proposed. A signal model of target measured by optical pump magnetometer is established for submarine target based on magnetic dipole. The target signal model is determined by 7 unknown parameters: position vector x,y,z,magnetic moment vector Mx,My,Mz,and course angle θ. According to the observation sample,the unknown parameters are searched by genetic algorithm and the prior information of submarine target,and the fitness function is constructed by Fréchet distance. Then the test statistic of mean correlation is proposed based on the target estimated signal,and the correlation detector using target estimated signal is designed. The performance analysis using measurement data shows that the detector is still with good detection performance in the low signal-to-noise ratio condition. Compared with the traditional detection based on decomposition of orthonormal basis and the aeromagnetic anomaly detection for moving target,the performance of the joint estimator and detector using target estimated signal is better,and it can improve the signal-to-noise ratio and reduce the false alarm probability.
引文
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[24]高翔,严胜刚,李斌.一种混合算法下单个磁通门定位运动磁性目标研究[J].大连理工大学学报,2016,56(3):292-298.GAO Xiang,YAN Sheng-gang,LI Bin.Study of a hybrid algorithm for localization of mobile magnetic target by a single fluxgate[J].Journal of Dalian University of Technology,2016,56(3):292-298.(in Chinese)
[25]高孝杰,简季,戴晓爱,等.基于Fréchet距离的光谱曲线匹配应用分析[J].武汉大学学报:信息科学版,2016,41(3):408-414.GAO Xiao-jie,JIAN Ji,DAI Xiao-ai,et al.Spectral curve matching application analysis based on Fréchet distance[J].Geomatics and Information Science of Wuhan University,2016,41(3):408-414.(in Chinese)
[26]安晓亚,刘平芝,杨云,等.一种线状要素儿何相似性度量方法及其应用[J].武汉大学学报:信息科学版,2015,40(9):1225-1229.AN Xiao-ya,LIU Ping-zhi,YANG Yun,et al.A geometric similarity measurement method and applications to linear feature[J].Geomatics and Information Science of Wuhan University,2015,40(9):1225-1229.(in Chinese)
[2]Dames P M,Schwager M,Schwager D.Active magnetic anomaly detection using multiple micro aerial vehicles[J].IEEE Robotics and Automation Letters,2016,1(1):153-160.
[3]熊雄,杨日杰,王鸿吉.海浪磁噪声背景中动目标航空磁异常检测算法[J].华中科技大学学报:自然科学版,2015,43(5):100-105.XIONG Xiong,YANG Ri-jie,WANG Hong-ji.Airborne magnetic anomaly detection algorithm for moving target under ocean wave generated magnetic noise[J].Journal of Huazhong University of Science and Technology:Natural Science Edition,2015,43(5):100-105.(in Chinese)
[4]Song L,Billings S,Pasion L,et al.Transient electromagnetic scattering of a metallic object buried in underwater sediments[J].IEEE Transactions on Geoscience and Remote Sensing,2016,54(2):1091-1102.
[5]Liu Z,Pang H,Pan M.Calibration and compensation of geomagnetic vector measurement system and improvement of magnetic anomaly detection[J].IEEE Transactions on Geoscience and Remote Sensing Letters,2016,13(3):447-451.
[6]Robert F,Saiful H,Mojtaba A,et al.Magnetic signature attenuation of an unmanned aircraft system for aeromagnetic survey[J].IEEE/ASME Transactions on Mechatronics,2014,19(4):1436-1446.
[7]Ginzburg B,Frumkis L,Kaplan B Z.Processing of magnetic scalar gradiometer signals using orthonormalized functions[J].Sensors and Actuators,2002,102(1):67-75.
[8]Ginzburg B,Frumkisb L,Kaplan B Z.An efficient method for processing scalar magnetic gradiometer signals[J].Sensors and Actuators,2004,114(1):73-79.
[9]Frumkisa L,Ginzburg B,Salomonski N.Optimization of scalar magnetic gradiometer signal processing[J].Sensors and Actuators,2005,121(1):88-94.
[10]Sheinker A,Moldwin M B.Magnetic anomaly detection(MAD)of ferromagnetic pipelines using principal component analysis(PCA)[J].Measurement Science and Technology,2016,27(4):1-7.
[11]Sheinker A,Salomonskil N,Ginzburg B.Magnetic anomaly detection using entropy filter[J].Measurement Science and Technology,2008,19(5):1-5.
[12]Sheinker A,Ginzburg B,Salomonski N.Magnetic anomaly detection using high-order crossing method[J].IEEE Transactions on Geoscience and Remote Sensing,2012,50(4):1095-1103.
[13]Sheinker A,Shkalim A,Salomonski N.Processing of a scalar magnetometer signal contaminated by 1/fαnoise[J].Sensors and Actuators,2007,138(1):105-111.
[14]Sheinker A,Frumkis L,Ginzburg B.Magnetic anomaly detection using a three-axis magnetometer[J].IEEE Transactions on Magnetics,2009,45(1):160-167.
[15]张坚,林春生,邓鹏,等.非高斯背景噪声下的微弱磁异常信号检测算法[J].海军工程大学学报,2011,23(4):22-26.ZHANG Jian,LIN Chun-sheng,DENG Peng,et al.Detection of weak magnetic anomaly signal in non-Gaussian noise background[J].Journal of Naval University of Engineering,2011,23(4):22-26.(in Chinese)
[16]邓鹏,张坚,林春生.航空磁探中水下目标的自适应探测方法[J].舰船科学技术,2012,34(3):76-79.DENG Peng,ZHANG Jian,LIN Chun-sheng.Adaptive detection method of magnetic anomaly detection in aeromagnetic survey[J].Ship Science and Technology,2012,34(3):76-79.(in Chinese)
[17]张朝阳,肖昌汉,高俊吉,等.磁性物体磁偶极子模型适用性的试验研究[J].应用基础与工程科学学报,2010,18(5):862-868.ZHANG Zhao-yang,XIAO Chang-han,GAO Jun-ji,et al.Experiment research of magnetic dipole model applicability for a magnetic object[J].Journal of Basic Science and Engineering,2010,18(5):862-868.(in Chinese)
[18]郭志馗,陈超,陶春辉,等.有限长圆柱体磁异常场全空间正演方法[J].地球物理学报,2017,60(4):1557-1570.GUO Zhi-kui,CHEN Chao,TAO Chun-hui,et al.Forward modeling of magnetic anomalies of finite-length cylinder in 3D space[J].Chinese Journal of Geophysics,2017,60(4):1557-1570.(in Chinese)
[19]周家新,陈建勇,单志超,等.航空磁探中潜艇磁场建模方法分析[J].海军航空工程学院学报,2017,32(1):143-148.ZHOU Jia-xin,CHEN Jian-yong,SHAN Zhi-chao,et al.Analysis of submarine magnetic field modeling method for aeromagnetic detection[J].Journal of Naval Aeronautical and Astronautical University,2017,32(1):143-148.(in Chinese)
[20]杨日杰,熊雄,郭新奇,等.基于潜艇磁偶极子模型的航空磁探潜探测宽度模型与仿真[J].兵工学报,2014,35(9):1458-1465.YANG Ri-jie,XIONG Xiong,GUO Xin-qi,et al.Research on model and simulation of airborne magnetic anomaly detection sweep width based on magnetic dipole model[J].Acta Armamentarii,2014,35(9):1458-1465.(in Chinese)
[21]Sheinker A,Salomonski N,Ginzburg B,et al.Aeromagnetic search using genetic algorithm[C]∥Progress in Electromagnetics Research Symposium(PIERS 2005).Hangzhou:The Electromagnetics Academy,2005:492-495.
[22]刘渊,杨永辉,张春瑞,等.一种基于遗传算法的Fuzzing测试用例生成新方法[J].电子学报,2017,45(3):552-556.LIU Yuan,YANG Yong-hui,ZHANG Chun-rui,et al.A novel method for fuzzing test cases generating based on genetic algorithm[J].Acta Electronica Sinica,2017,45(3):552-556.(in Chinese)
[23]孙跃,夏金凤,唐春森,等.采用元胞遗传算法的无线电能传输网路径寻优[J].西安交通大学学报,2017,51(4):30-36.SUN Yue,XIA Jin-feng,TANG Chun-sen,et al.Path optimization for wireless power transfer networks with cellular genetic algorithm[J].Journal of Xi'an Jiaotong University,2017,51(4):30-36.(in Chinese)
[24]高翔,严胜刚,李斌.一种混合算法下单个磁通门定位运动磁性目标研究[J].大连理工大学学报,2016,56(3):292-298.GAO Xiang,YAN Sheng-gang,LI Bin.Study of a hybrid algorithm for localization of mobile magnetic target by a single fluxgate[J].Journal of Dalian University of Technology,2016,56(3):292-298.(in Chinese)
[25]高孝杰,简季,戴晓爱,等.基于Fréchet距离的光谱曲线匹配应用分析[J].武汉大学学报:信息科学版,2016,41(3):408-414.GAO Xiao-jie,JIAN Ji,DAI Xiao-ai,et al.Spectral curve matching application analysis based on Fréchet distance[J].Geomatics and Information Science of Wuhan University,2016,41(3):408-414.(in Chinese)
[26]安晓亚,刘平芝,杨云,等.一种线状要素儿何相似性度量方法及其应用[J].武汉大学学报:信息科学版,2015,40(9):1225-1229.AN Xiao-ya,LIU Ping-zhi,YANG Yun,et al.A geometric similarity measurement method and applications to linear feature[J].Geomatics and Information Science of Wuhan University,2015,40(9):1225-1229.(in Chinese)