APPLICATION ON SMOOTHING PARTICLE FILTER IN TRACKING A HIGHLY MANEUVERABLE TARGET IN A MULTIPLE-SENSORS NETWORK

Document Type : Original Article

Authors

1 Ph.D. Candidate, Elec. & Comp. Eng. Department, University of Calgary, AB, Canada.

2 Associate Professor, Elec. & Comp. Eng. Department, University of Calgary, AB, Canada.

Abstract

ABSTRACT
In this paper we apply the smoothing particle filter to track a highly maneuverable target in a
multiple-sensors network. We address the scenario of a single highly-maneuverable target
moving through a field of stationary sensors with known locations. The target is tracked
through the sensors filed using either all sensors or active sensors within a gate around the
target. Results have been compared to tracking the same target using conventional particle
filter. Smoothing particle filter showed improvement in the performance.