Adaptive target tracking under glint noise
- Resource Type
- Conference
- Authors
- Zhang, Wen; Zhao, Xuanzhi; Chen, Song; Duan, Huifang
- Source
- 2017 14th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) Wavelet Active Media Technology and Information Processing (ICCWAMTIP), 2017 14th International Computer Conference on. :52-56 Dec, 2017
- Subject
- Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Fields, Waves and Electromagnetics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Particle filters
Target tracking
Radar tracking
Filtering algorithms
1f noise
Tracking
Glint Noise
EM Algorithm
Particle Filter
- Language
Aiming at solving the problem that the performance of moving target tracking is not very well when the statistical characteristics of the process noise are unknown in addition to non — Gaussian observation noise, a method combining EM algorithm and particle filter are proposed. Such method applies EM algorithm to estimate the accurate process noise parameters, then the particle filter is used to obtain high precision target motion state. Simulation results demonstrate our method can effectively suppress the divergence of filtering and improve the accuracy of tracking significantly.