Jun 19, 2012 · An improved particle filter (IPF) algorithm was proposed to solve the target tracking problem in wireless sensor networks.
Robust tracking algorithm for wireless sensor networks based on improved particle filter. July 2012; Wireless Communications and Mobile Computing 12(10). 12(10).
In this paper, we propose an improved particle filter which makes full use of the latest observation in constructing the proposal distribution. The quality ...
... The particle filter algorithm [24, 25] is suitable for any nonlinear system, and has higher accuracy and stability than other filtering algorithms, so this ...
An improved particle filter algorithm which outperforms general PF when target suddenly changes movement direction is proposed, which modified the deviation ...
The objective of this work is to track a moving sensor node by using information from a group of binary sensor nodes measuring whether the moving node is moving ...
We applied the improved MPDA filter to the IMM-EKF algorithm ... A Robust Tracking Algorithm Based on a Probability Data Association for a Wireless Sensor Network ...
In this paper, an improved particle filter algorithm is proposed, in which is based on the ensemble kalman method generating the proposal distribution function ...
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We derive two consensus-based distributed detection and tracking algorithms. The first algorithm is for the distributed detection and tracking without clutter.
Feb 5, 2020 · The simulation is performed under several different non-line-of-sight errors, and results show that the algorithm is superior to Kalman filter ...