Resampling is an essential step in particle filtering (PF) methods in order to avoid degeneracy. Systematic resampling is one of a number of resampling techniques commonly used due to some of its desirable properties such as ease of implementation and low computational complexity. However, it has a tendency of resampling very low weight particles especially when a large number of resampled particles are required which may affect state estimation. In this paper, we propose an improved version of the systematic resampling technique which addresses this problem and demonstrate performance improvement.
Funding
This work was supported by the Engineering and Physical Sciences Research Council (EPSRC) Grant number EP/K014307/1, the MOD University Defence Research Collaboration (UDRC) in Signal Processing, UK and the Petroleum Technology Development Fund (PTDF), Nigeria.
History
School
Mechanical, Electrical and Manufacturing Engineering
Published in
2017 22nd International Conference on Digital Signal Processing (DSP)
2017 22nd International Conference on Digital Signal Processing (DSP)
Citation
DANIYAN, A., GONG, Y. and LAMBOTHARAN, S., 2017. An improved resampling approach for particle filters in tracking. Presented at the 2017 22nd International Conference on Digital Signal Processing (DSP), London, UK, 23-25 August 2017.