An improved IMM algorithm based on maneuvering-adaptive model set
- Resource Type
- Conference
- Authors
- Guo, Jin-Peng; Xu, Jia; Yan, Liang; Xia, Xiang-Gen; Xiao, Xue; Long, Teng; Bian, Ming-Ming
- Source
- 2016 CIE International Conference on Radar (RADAR) Radar (RADAR), 2016 CIE International Conference on. :1-5 Oct, 2016
- Subject
- Aerospace
Components, Circuits, Devices and Systems
Fields, Waves and Electromagnetics
Geoscience
Signal Processing and Analysis
Target tracking
Mathematical model
Radar tracking
Numerical models
Algorithm design and analysis
Computational modeling
White noise
IMM algorithm
adjustable white noise model
model set
maneuvering target tracking
- Language
Interacting multiple model (IMM) algorithm is one of the effective methods for maneuvering target tracking. The conventional IMM algorithm based on a fixed model set may lead to filter mismatch for a high maneuvering target. In this paper, an improved IMM algorithm is proposed by using maneuver-adaptive model set. Based on the maneuver detection and adaptively adjusting the process noise levels, it can effectively make a quick response when the maneuver occurs while it has a low root-mean-square error when the motion is relatively stable. Finally, some numerical results are provided to demonstrate the effectiveness of the proposed method.