Title :
Does particle filter really outperform low pass filter in indoor target tracking?
Author :
Anzai, Daisuke ; Hara, Shinsuke
Author_Institution :
Grad. Sch. of Eng., Osaka City Univ., Osaka, Japan
Abstract :
This paper compares the indoor tracking performance for a moving target between an IIR (Infinite Impulse Response) low pass filter and a particle filter. It reveals that, in the computer simulations where the motion of a target exactly follows the state transition model in the particle filter, the particle filter-based tracking system outperforms the IIR low pass filter-based tracking system. On the other hand, in the experiments where the motion of a target is really unpredictable and does not always follow the state transition model, the IIR low pass filter outperforms the particle filter. It concludes that the IIR low pass filter-based tracking system is advantageous in reality, because it requires far less computational cost and shows better tracking performance.
Keywords :
IIR filters; target tracking; IIR low pass filter-based tracking system; computer simulations; indoor target tracking; indoor tracking performance; infinite impulse response; moving target; particle filter-based tracking system; state transition model; Clocks; Computational modeling; Computer simulation; Estimation error; IIR filters; Target tracking;
Conference_Titel :
Personal Indoor and Mobile Radio Communications (PIMRC), 2010 IEEE 21st International Symposium on
Conference_Location :
Instanbul
Print_ISBN :
978-1-4244-8017-3
DOI :
10.1109/PIMRC.2010.5672056