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Related Experiment Videos

Robust Real-Time DOA Estimation for Outdoor Vehicle Acoustic Sources Using Dynamic-Pruning GCC-PHAT and Adaptive

Xueheng Hu^1,2, Jianxin Zhang², Hong Ma¹

¹School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, China.

Sensors (Basel, Switzerland)

|July 15, 2026

Summary

This study introduces a new direction-of-arrival (DOA) estimation method for vehicles in noisy outdoor settings. The approach enhances accuracy and stability while reducing computational load for real-time applications.

Keywords:

DOA estimation DOA tracking GCC-PHAT OPAST-MUSIC adaptive forgetting factor dynamic pruning microphone array outdoor environments

Related Experiment Videos

Area of Science:

Acoustics
Signal Processing
Machine Learning

Background:

Vehicle acoustic source direction-of-arrival (DOA) estimation faces challenges in outdoor environments due to low signal-to-noise ratio (SNR), dynamic noise, and real-time constraints.
Conventional methods often fail to balance accuracy, computational efficiency, and noise robustness effectively.

Purpose of the Study:

To propose a novel DOA estimation method for outdoor vehicle environments.
To improve estimation accuracy, computational efficiency, and robustness against complex noise conditions.

Main Methods:

Integration of a dynamic-pruning strategy with an adaptive subspace tracking mechanism.
Development of an approach to reduce computational complexity and enhance algorithmic stability.

Main Results:

The proposed method achieves comparable or superior DOA accuracy to conventional approaches.
Significant reduction in computational cost compared to existing methods.
Demonstrated enhanced stability and robustness in real-world static and dynamic vehicle localization scenarios.

Conclusions:

The novel DOA estimation method offers a favorable trade-off among accuracy, efficiency, and robustness.
The method shows strong engineering application potential for real-world vehicle monitoring in complex outdoor environments.