ANALYSIS OF ERROR PROPAGATION IN PARTICLE FILTERS WITH APPROXIMATION

作者：Oreshkin Boris N^*; Coates Mark J

来源：Annals of Applied Probability, 2011, 21(6): 2343-2378.

DOI：10.1214/11-AAP760

• Collaborative tracking
• particle filtering
• error analysis

This paper examines the impact of approximation steps that become necessary when particle filters are implemented on resource-constrained platforms. We consider particle filters that perform intermittent approximation, either by subsampling the particles or by generating a parametric approximation. For such algorithms, we derive time-uniform bounds on the weak-sense L-p error and present associated exponential inequalities. We motivate the theoretical analysis by considering the leader node particle filter and present numerical experiments exploring its performance and the relationship to the error bounds.

• 出版日期2011-12