A Fuzzy Logic Approach to Target Tracking

📝 Original Info

• Title: A Fuzzy Logic Approach to Target Tracking
• ArXiv ID: 1303.5433
• Date: 2013-03-25
• Authors: Researchers from original ArXiv paper

📝 Abstract

This paper discusses a target tracking problem in which no dynamic mathematical model is explicitly assumed. A nonlinear filter based on the fuzzy If-then rules is developed. A comparison with a Kalman filter is made, and empirical results show that the performance of the fuzzy filter is better. Intensive simulations suggest that theoretical justification of the empirical results is possible.

💡 Deep Analysis

Deep Dive into A Fuzzy Logic Approach to Target Tracking.

This paper discusses a target tracking problem in which no dynamic mathematical model is explicitly assumed. A nonlinear filter based on the fuzzy If-then rules is developed. A comparison with a Kalman filter is made, and empirical results show that the performance of the fuzzy filter is better. Intensive simulations suggest that theoretical justification of the empirical results is possible.

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Reference