Title :
Optimized FPGA based implementation of particle filter for tracking applications
Author :
Jarrah, Amin ; Jamali, Mohsin M. ; Hosseini, Seyyed Soheil Sadat
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of Toledo, Toledo, OH, USA
Abstract :
Particle filter has been proven to be a very effective method for identifying targets in non-linear and non-Gaussian environment. However, particle filter is computationally intensive. So, particle filter has been implemented on FPGA by exploiting parallel and pipelining approaches to reduce the computational burden. Our optimized FPGA implementation improves up to twelve times speed up. Also more speed ups are achieved with increasing number of particles.
Keywords :
field programmable gate arrays; nonlinear filters; particle filtering (numerical methods); tracking filters; FPGA based implementation optimization; computational burden reduction; nonGaussian environment; nonlinear environment; parallel approaches; particle filter; pipelining approaches; tracking applications; twelve times speed up; Atmospheric measurements; Field programmable gate arrays; Optimization; Particle filters; Pipeline processing; Radar tracking; Target tracking; FPGA; High level synthesis tools; Particle filter; Tracking; VHDL;
Conference_Titel :
Aerospace and Electronics Conference, NAECON 2014 - IEEE National
Print_ISBN :
978-1-4799-4690-7
DOI :
10.1109/NAECON.2014.7045808
