Turn Rate Estimation Based Adaptive IMM Algorithm for Maneuvering Target Tracking

Abstract:

A turn rate estimation based adaptive interactive multiple model algorithm is put forward to solve model-set mismatch problem of target tracking algorithm applying to high maneuvering target. By considering both the estimation and the estimated variance of target’s turn rate, model-set is selected according to a rule based on the coefficient of variance of turn rate estimation. When turn rate estimation is acceptable, model-set is constructed according to turn rate estimation to reduce competition among models. When turn rate estimation is unacceptable, standard IMM algorithm model-set is applied to increase coverage of model-set. Simulation shows this algorithm improves tracking performance especially for high maneuvering targets.

• Periodical: Advanced Materials Research (Volumes 383-390)
• Pages: 5609-5614
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.383-390.5609
• Online since: November 2011
• Authors: Ye Tian, Hong Jiang, Quan Xin Ding, Guo Wei Liang
• Keywords: Adaptive Interacting Multiple-Model (AIMM), Coefficient of Variance (CV), Kalman Filter (KF), Maneuvering Target Tracking, Turn Rate Estimation

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