Target Track Prediction Method Based on Grey Residual Modification Theory

doi:10.3969/j.issn.1000-1093.2017.03.006

Abstract

Abstract: Two grey residual modification models are proposed for the track prediction precision of brainpower antitank (BAT) submunition based on grey theory, which are grey residual modification model (GRMM) and grey Verhulst residual modification model (GVRMM). A grey model of target track prediction is established, and the limitations of this model are analyzed. GRMM and GVRMM are used to correct the grey forecast model on line, respectively. It shows that the proposed method based on real-time residual modification mechanism can be used to reduce the prediction error effectively, and GVRMM has better efficiency in improving track prediction precision. Key

Key words: ordnancescienceandtechnology, targettracking, trackprediction, residualmodification, greyresidualmodificationmodel

CLC Number:

TJ413⁺.3

DI Yi， GU Xiao-hui， LONG Fei. Target Track Prediction Method Based on Grey Residual Modification Theory[J]. Acta Armamentarii, 2017, 38(3): 454-459.

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第38卷
第3期2017 年3月兵工学报ACTA
ARMAMENTARIIVol.38No.3Mar.2017

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