An Underwater Velocity-Independent DOA Estimation Based on Improved Toeplitz Matrix Reconstruction

Area of Science:

• Signal Processing
• Acoustics
• Array Signal Processing

Background:

• Conventional direction of arrival (DOA) estimation models face limitations in measurement range and degrees of freedom.
• Existing methods struggle with velocity independence and sparse array configurations.

Purpose of the Study:

• To propose an omnidirectional DOA estimation model overcoming limitations of conventional methods.
• To enhance the degrees of freedom and accuracy of DOA estimation using sparse arrays.

Main Methods:

• Utilizes improved Toeplitz matrix reconstruction for sparse arrays.
• Employs an expanding coprime array with a larger aperture.
• Introduces low-rank matrix reconstruction to fill matrix gaps and eliminate acoustic velocity dependency.

Main Results:

• The proposed method enhances the degrees of freedom for DOA estimation.
• Geometric relationships eliminate the acoustic velocity factor.
• Simulation experiments confirm improved estimation accuracy.

Conclusions:

• The developed omnidirectional DOA estimation model effectively improves accuracy.
• The approach offers a robust solution for DOA estimation with enhanced array capabilities.