Ship Static Electric Field Tracking Based on Filter Bank

doi:10.3969/j.issn.1000-1093.2019.07.017

Abstract

Abstract: A new filter algorithm based on filter bank is proposed to solve the problem on lack of prior information in ship static electric field tracking. A state space model of ship static electric field tracking is established, the static electric field of ship is modeled by using a horizontal electric dipole, and a set of filters is used to track a target by taking a progressive update extended Kalman filter as a basic unit. An initial value selection method is designed according to the electric field calculation formula, and the reliable tracking trajectory is selected by using the maximum likelihood method. Simulation and sea electric dipole tracking experiment show that the filter bank method can be used to effectively solve the problem of lack of prior information in ship electric field tracking, the maximum likelihood selection method can be used to select the correct tracking trajectory, and the algorithm is more sensitive to the azimuth information. Key

Key words: shipstaticelectricfield, progressiveupdateextendedKalmanfilter, statespacemodel, electricdipole, filterbank

CLC Number:

TJ610.2

YAN Bing， SUN Baoquan， ZHANG Jiawei. Ship Static Electric Field Tracking Based on Filter Bank[J]. Acta Armamentarii, 2019, 40(7): 1468-1475.

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第40卷
第7期2019 年7月兵工学报ACTA
ARMAMENTARIIVol.40No.7Jul.2019

[1]	ZHANG Jiawei, YU Peng， JIANG Runxiang, SUN Baoquan. Research on Target Tracking Method Based on Ship Electric Field [J]. Acta Armamentarii, 2020, 41(3): 559-566.
[2]	SUN Jia-qing， CHEN Cong， WEI Yu-qian， LI Ding-guo. Application of Differential Recursion Method in Depth Conversion of Ship Static Electric Field [J]. Acta Armamentarii, 2018, 39(2): 345-355.