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Design and Algorithm Integration of High-Precision Adaptive Underwater Detection System Based on MEMS Vector
Yan Liu1, Boyuan Jing1, Guojun Zhang1
1State Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China.
Micromachines
|April 27, 2024
Summary
This study introduces a novel method for real-time direction of arrival (DOA) estimation of underwater acoustic targets, even with unknown noise characteristics. The technique ensures accurate target orientation in complex marine environments, crucial for ocean monitoring.
Area of Science:
- Ocean acoustics
- Signal processing
- Marine engineering
Background:
- Real-time direction of arrival (DOA) estimation is vital for marine environment research and national security.
- Complexity of marine environments hinders accurate DOA estimation due to unknown noise characteristics.
Purpose of the Study:
- To develop a robust signal processing method for real-time DOA estimation of acoustic targets in complex environments with unknown noise.
- To address the challenges posed by unknown prior noise characteristics in underwater target localization.
Main Methods:
- Utilized a micro-electro-mechanical system (MEMS) vector hydrophone for sensing ocean conditions.
- Implemented an adaptive adjustment system to modify structural parameters for target signal extraction.
- Proposed a novel signal processing technique for scenarios with unknown noise characteristics.
Main Results:
- Achieved accurate real-time DOA estimation with errors within 3.1° at a signal-to-noise ratio (SNR) of -17 dB on the X channel.
- Demonstrated stable performance and maintained accuracy even as SNR decreased.
- Validated the method through theoretical analysis and experimental verification.
Conclusions:
- The proposed method offers accurate and reliable real-time DOA estimation for underwater acoustic targets in challenging marine conditions.
- The technique shows significant promise for applications in ocean monitoring and surveillance.
- Effective in scenarios where prior noise information is unavailable.
