Preprint Article Version 1 This version is not peer-reviewed

Optimal Design of Closed-loop Fusion for Sensor Signal Expansion

Version 1 : Received: 19 November 2018 / Approved: 20 November 2018 / Online: 20 November 2018 (09:55:17 CET)

A peer-reviewed article of this Preprint also exists.

Mao, Y.; Ren, W.; Luo, Y.; Li, Z. Optimal Design Based on Closed-Loop Fusion for Velocity Bandwidth Expansion of Optical Target Tracking System. Sensors 2019, 19, 133. Mao, Y.; Ren, W.; Luo, Y.; Li, Z. Optimal Design Based on Closed-Loop Fusion for Velocity Bandwidth Expansion of Optical Target Tracking System. Sensors 2019, 19, 133.

Journal reference: Sensors 2019, 19, 133
DOI: 10.3390/s19010133

Abstract

Sensor fusion technology is one of extensive used methods in the field of robot, aerospace and target tracking control. In this paper, the generalized sensor fusion framework, named the closed-loop fusion (CLF) is analyzed and the optimal design principle of filter is proposed in detail. Fusion error optimization problem, which is the core issue of fusion design, is also solved better through the feedback compensation law of CLF framework. Differently from conventional methods, the fusion filter of CLF can be optimally designed and the determination of superposition of fusion information is avoided. To show the validity, simulation and experimental results are to be submitted.

Subject Areas

sensor fusion; fusion error; feedback compensation; closed-loop fusion

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