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Acta Armamentarii ›› 2018, Vol. 39 ›› Issue (5): 833-840.doi: 10.3969/j.issn.1000-1093.2018.05.001

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Research on Joint Estimation and Detection of Submarine Target in Airborne Magnetic Anomaly Detection

ZHOU Jia-xin1,2, CHEN Jian-yong2, SHAN Zhi-chao2, CHEN Chang-kang2   

  1. (1.Naval Institute of Hydrographic Surveying and Charting, Tianjin 300061, China;2.Department of Electronic and Information Engineering, Naval Aeronautical Engineering Institute, Yantai 264001,Shandong, China)
  • Received:2017-07-24 Revised:2017-07-24 Online:2018-06-22

Abstract: 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. Key

Key words: submarine, jointestimationanddetection, airbornemagneticanomalydetection, magneticdipole, geneticalgorithm, Fréchetdistance, meancorrelationdetector

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