High-Precision Trajectory Data Reconstruction for TT&C Systems Using LS B-Spline Approximation

Jieyi Sun, Yongqing Wang, Yuyao Shen*, Shaozhong Lu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

Existing trajectory data reconstruction algorithms for tracking, telemetry, and command (TT&C) channel simulators cannot achieve continuity and noise reduction simultaneously. By combining the B-spline interpolation algorithm with the least-square (LS) approximation algorithm, we propose a novel trajectory data reconstruction algorithm using LS B-spline approximation. In addition, a polyphase structure is proposed to implement the algorithm. Compared with existing algorithms, the proposed algorithm achieves higher reconstruction precision when the known trajectory data include measurement errors; moreover, it preserves continuity. Numerical simulation results verified the validity and effectiveness of our proposed algorithm.

Original languageEnglish
Article number9097382
Pages (from-to)895-899
Number of pages5
JournalIEEE Signal Processing Letters
Volume27
DOIs
Publication statusPublished - 2020

Keywords

  • B-spline interpolation
  • LS approximation
  • TT&C channel simulator
  • polyphase
  • trajectory data reconstruction

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Sun, J., Wang, Y., Shen, Y., & Lu, S. (2020). High-Precision Trajectory Data Reconstruction for TT&C Systems Using LS B-Spline Approximation. IEEE Signal Processing Letters, 27, 895-899. Article 9097382. https://doi.org/10.1109/LSP.2020.2996091