JOURNAL ARTICLE

Intelligent fading memory for high maneuvering target tracking

Abstract

In this paper, a new fuzzy fading memory (FFM) is developed in order to aid a modified input estimation (MIE) technique and to enhance its performance in tracking high maneuvering targets. The MIE has been introduced recently and performs well in tracking low and medium maneuvering targets. However, this method does not represent desirable accuracy in tracking high maneuvering or jerking targets. In fact, this trouble is originated in mismodeling the target acceleration dynamics. An effective approach to cope with different modeling uncertainties is fading memory. However, conventional fading memory method suffers from some deficiencies leading to surplus fading information in non-maneuvering mode or incomplete compensation in high maneuvering situations. To overcome these difficulties, an intelligent fading memory is presented in this paper. Simulation results prove the efficiency of proposed method in tracking high maneuvering targets.

Keywords:
Fading Computer science Tracking (education) Acceleration Control theory (sociology) Artificial intelligence Real-time computing Algorithm Control (management) Psychology

Metrics

21
Cited By
4.57
FWCI (Field Weighted Citation Impact)
15
Refs
0.96
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Target Tracking and Data Fusion in Sensor Networks
Physical Sciences →  Computer Science →  Artificial Intelligence
Guidance and Control Systems
Physical Sciences →  Engineering →  Aerospace Engineering
Inertial Sensor and Navigation
Physical Sciences →  Engineering →  Aerospace Engineering

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