Radiotekhnika
Publishing house Radiotekhnika

"Publishing house Radiotekhnika":
scientific and technical literature.
Books and journals of publishing houses: IPRZHR, RS-PRESS, SCIENCE-PRESS


Тел.: +7 (495) 625-9241

 

Effectiveness analysis of signal parameters estimation algorithm based on particle filtering through simulation

Keywords:

M.N. Sluzhivyi – Ph.D. (Eng.), Assistant Professor of Telecommunications dept. E-mail: m.sluzhivyi@ulstu.ru
S.M. Namestnikov – Ph.D., Assistant Professor of Telecommunications dept. E-mail: sernam@ulstu.ru


Algorithms of recurrent estimation of signal parameters by means of particle filter are considered. Estimation error variance through simulation is carried out. It is shown that particle filter application enables to essentially increase estimation accuracy in certain spans of parameters values. Particle filtering algorithms relate to Bayesian filtering methods and are based on sequential Monte Carlo sampling and consequent calculation and weighed summation of current values of conditional probability density function. These algorithms enable to effectively solve essentially nonlinear problems of non-Gaussian signal estimation. It is also shown that experimental values of Kalman filtering error variance significantly exceed the theoretical bound whereas particle filter processing the same experimental data produces values of error variance close to the theoretical bound. The considered particle filtering algorithm enables to obtain estimates close to optimal ones and that is particularly clear at strong correlations of the desired signal. The obtained results can be applied when developing signal processing algorithms for perspective communication systems and moving vehicle navigation systems using data from terrain relief.
References:

  1. Doucet A., Godsill S., Andrieu C. On sequential Monte Carlo sampling methods for Bayesian filtering // Statistics and Computing. 2000. V. 10. P. 197-208.
  2. Haug A.J. Bayesian Estimation and Tracking: A Practical Guide. John Wiley & Sons. Inc. 2012. 369 p.
  3. Durrant-Whyte H., Bailey T. Simultaneous Localization and Mapping (SLAM): Part 1. The Essential Algorithms // IEEE Robotics and Automation Magazine. June. 2006. P. 99-108.

June 24, 2020
May 29, 2020

© Издательство «РАДИОТЕХНИКА», 2004-2017            Тел.: (495) 625-9241                   Designed by [SWAP]Studio