Title :
Real-time implementation of mixture particle filter for 3D RISS/GPS integrated navigation solution
Author :
Atia, Mohamed M. ; Georgy, Jacques ; Korenberg, M.J. ; Noureldin, Aboelmagd
Author_Institution :
Dept. of Electr. & Comput. Eng., Queen´s Univ., Kingston, ON, Canada
Abstract :
An optimised real-time realisation of a mixture particle filter (PF) integrated 3D navigation system for land vehicles based on Global Positioning System (GPS) and Reduced Inertial Sensors System (RISS) is introduced. The PF is a nonlinear filter that can handle errors and uncertainties. Although a mixture PF decreases the number of particles compared to a sampling/importance resampling (SIR) PF, the implementation on embedded systems needs further optimisation to run at higher rates. Introduced is an optimised real-time implementation of a mixture PF on a 600 MHz ARM processor. The optimisation is based on fast median-cut clustering to reduce the complexity of search in the weighting step. The proposed real-time system was tested on a real mobile robot trajectory, showing fast and accurate performance.
Keywords :
Global Positioning System; embedded systems; inertial navigation; nonlinear filters; particle filtering (numerical methods); GPS; RISS; embedded system; fast median-cut clustering; global positioning system; integrated 3D navigation system; mixture particle filter; nonlinear filter; real-time implementation; reduced inertial sensors system; sampling-importance resampling PF;
Journal_Title :
Electronics Letters
DOI :
10.1049/el.2010.1633