Research on far-field high-precision direction estimation and error calibration method based on beamspace MUSIC algorithm

Shuang Liu; Chun Wang; Yuhong Shi; Kai Zhu

doi:10.1117/12.3053054

3 January 2025 Research on far-field high-precision direction estimation and error calibration method based on beamspace MUSIC algorithm

Shuang Liu, Chun Wang, Yuhong Shi, Kai Zhu

Author Affiliations +

Proceedings Volume 13442, Fifth International Conference on Signal Processing and Computer Science (SPCS 2024); 134421I (2025) https://doi.org/10.1117/12.3053054
Event: Fifth International Conference on Signal Processing and Computer Science (SPCS 2024), 2024, Kaifeng, China

Abstract

In underwater direction estimation and target localization systems, far-field high-precision direction estimation is a key technology that is of great significance for target positioning and tracking. This study aims to explore a high-precision far-field direction estimation method based on the beamforming MUSIC algorithm, and to enhance the accuracy and stability of direction estimation by incorporating error calibration techniques. We first described the signal model and the beamforming MUSIC algorithm tailored to this model. Next, we analyzed the primary errors of the signal model in terms of phase offset. Subsequently, we proposed error correction techniques for phase error correction based on the subspace principle and the steepest descent method, effectively rectifying errors in both simulated and measured data. This research provides new insights and methods for the development of high-precision far-field direction estimation techniques, which are crucial for enhancing the performance and accuracy of underwater direction estimation and target localization systems.

(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Shuang Liu, Chun Wang, Yuhong Shi, and Kai Zhu "Research on far-field high-precision direction estimation and error calibration method based on beamspace MUSIC algorithm", Proc. SPIE 13442, Fifth International Conference on Signal Processing and Computer Science (SPCS 2024), 134421I (3 January 2025); https://doi.org/10.1117/12.3053054

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KEYWORDS

Error analysis

Covariance matrices

Calibration

Detection and tracking algorithms

Error control coding

Matrices

Phase distribution

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