The particle flow filters, proposed by Daum & Hwang, provide a powerful means for density-based nonlinear filtering but their computation is intense and may be prohibitive for real-time applications. This paper proposes a design for superfast implementation of the exact particle flow filter using a field-programmable gate array (FPGA) as a parallel environment to speedup computation. Simulation results from a nonlinear filtering example are presented to demonstrate that using FPGA can dramatically accelerate particle flow filters through parallelization at the expense of a tolerable loss in accuracy as compared to nonparallel implementation.

Date Published: 2 September 2015
PDF: 12 pages
Proc. SPIE 9596, Signal and Data Processing of Small Targets 2015, 95960B (2 September 2015); doi: 10.1117/12.2179546

Published in SPIE Proceedings Vol. 9596:
Signal and Data Processing of Small Targets 2015
Oliver E. Drummond; Richard D. Teichgraeber, Editor(s)