Open AccessAdaptive manoeuvring target tracking algorithm based on acceleration pre‐estimation model
Author(s) -
Jian Shen,
Jiwei Tang,
Hanxi Zhao,
Yusheng Yu
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.0745
Subject(s) - acceleration , residual , tracking (education) , computer science , statistic , algorithm , set (abstract data type) , basis (linear algebra) , control theory (sociology) , function (biology) , variance (accounting) , artificial intelligence , mathematics , statistics , psychology , pedagogy , physics , geometry , control (management) , classical mechanics , evolutionary biology , biology , programming language , accounting , business
For the defect of requiring artificially set manoeuvring parameters in traditional target models, an adaptive manoeuvring frequency tracking algorithm based on acceleration pre‐estimation model (APM) was proposed. On the basis of APM, which has a better target tracking performance compared with current statistic model, this study used residual vector to determine variance of target's manoeuvring, and realised an adaptive adjustment for manoeuvring frequency by using a non‐linear function, solved the problem of requiring artificially set manoeuvring frequency in APM. The simulation results showed that the improved algorithm effectively ameliorated the target tracking performance.