International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Performance Analysis of Unscented Kalman Filter using Fuzzy Logic for Tracking Applications

Author : S.Surekha ¹ B.Leela Kumari ²

Date of Publication :12th October 2017

Abstract: Target tracking is one of the major aspects often used in sonar applications, surveillance systems, communication systems, embedded applications etc. To obtain kinematic components of a moving target such as position, velocity, and acceleration, one of the most used approaches in target tracking is stochastic estimation approach. Movement of the target is described by state space dynamic system. Stochastic estimation is carried out using state estimators (filters). Some of the estimators are Kalman Filter, Extended Kalman Filter, Unscented Kalman Filter, Particle Filter, Interactive Multiple Model etc. The approach in this paper is to analyze Unscented Kalman Filter(UKF) using Fuzzy Logic.

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