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α-β-γ tracking filters using acceleration measurements.

Kenshi Saho1, Masao Masugi1

  • 1Department of Electronic and Computer Engineering, Ritsumeikan University, Kusatsu, Shiga 525-8577 Japan.

Springerplus
|April 12, 2016
PubMed
Summary

New alpha-beta-gamma tracking filters utilize acceleration measurements for enhanced object tracking. The position-velocity-acceleration-measured (PVAM) filter demonstrates superior accuracy, even with significant noise.

Keywords:
Acceleration measurementsMinimum variance filter criterionMoving target trackingOptimal gainPerformance indexα–β–γ filter

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Area of Science:

  • Control Systems Engineering
  • Signal Processing
  • Robotics

Background:

  • Real-time tracking of moving objects is crucial for monitoring systems.
  • Existing alpha-beta-gamma filters lack acceleration measurement integration.
  • Novel filters are needed to incorporate acceleration for improved tracking.

Purpose of the Study:

  • To propose and analyze two new alpha-beta-gamma tracking filters incorporating acceleration measurements.
  • To evaluate the performance of position-acceleration-measured (PAM) and position-velocity-acceleration-measured (PVAM) filters.
  • To determine the conditions under which these filters outperform existing methods.

Main Methods:

  • Theoretical derivation of performance indices for PAM and PVAM filters.
  • Numerical analysis comparing PAM, PVAM, and position-only-measured (POM) filters.
  • Evaluation based on derived performance indices and simulated measurement noise.

Main Results:

  • The position-acceleration-measured (PAM) filter's performance advantages over the position-only-measured (POM) filter are identified.
  • The position-velocity-acceleration-measured (PVAM) filter shows superior accuracy compared to other filters.
  • The PVAM filter maintains high accuracy even with considerable measurement noise.

Conclusions:

  • The effectiveness of alpha-beta-gamma filters using acceleration measurements is verified.
  • Derived performance indices support the use of acceleration data for improved tracking.
  • These findings aid in designing tracking systems that leverage acceleration measurements.