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Estimator design for re-entry targets.

Chun-Wei Huang1, Chun-Liang Lin1, Yu-Ping Lin1

  • 1Department of Electrical Engineering, National Chung Hsing University, Taichung 402, Taiwan, ROC.

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Summary
This summary is machine-generated.

This study presents a new trajectory estimation scheme for tactical ballistic missiles (TBMs) using radar data. The method accurately estimates missile position, velocity, evasive acceleration, and ballistic coefficient, even with measurement errors.

Keywords:
Ballistic targetKalman filterTrajectory estimation

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Area of Science:

  • Aerospace Engineering
  • Guidance, Navigation, and Control (GNC)
  • Defense Systems

Background:

  • Accurate trajectory estimation is crucial for defense systems.
  • Tactical ballistic missiles (TBMs) pose significant challenges due to their maneuverability.
  • Existing methods may struggle with estimating dynamic parameters like evasive acceleration.

Purpose of the Study:

  • To develop and validate a novel trajectory estimation scheme for TBMs.
  • To enhance the estimation of key TBM parameters, including evasive acceleration and ballistic coefficient.
  • To analyze the impact of radar measurement errors on estimation accuracy and system performance.

Main Methods:

  • Utilized input estimation (IE) techniques.
  • Incorporated extended Kalman filtering (EKF) for state estimation.
  • Investigated target information from ground-based radar systems.

Main Results:

  • Successfully estimated TBM position and velocity.
  • Achieved accurate estimation of TBM evasive acceleration and ballistic coefficient.
  • Characterized the ground-based radar system's acquirable zone considering measurement errors.

Conclusions:

  • The proposed trajectory estimation scheme is effective for TBMs.
  • The method demonstrates robust performance even with radar measurement uncertainties.
  • Validated the capability to estimate critical dynamic parameters for TBMs.