Beamspace Spatial Smoothing MUSIC DOA Estimation Method Using Dynamic Metasurface Antenna

Area of Science:

• Electromagnetics and Signal Processing
• Antenna Theory and Design

Background:

• Traditional Direction-of-Arrival (DOA) estimation methods using array antennas lack dynamic angle range adjustment for Regions of Interest (ROI).
• This limitation results in suboptimal estimation accuracy and significant computational complexity in wireless communication systems.

Purpose of the Study:

• To propose a novel Beamspace Spatial Smoothing MUltiple SIgnal Classification (BSS-MUSIC) DOA estimation method utilizing a Dynamic Metasurface Antenna (DMA).
• To address the limitations of traditional DOA methods by enabling dynamic ROI selection and increasing beam density within the ROI.

Main Methods:

• A new Dynamic Metasurface Antenna (DMA) model with a single RF chain was developed, facilitating a time-division data reception scheme.
• A Beamspace Spatial Smoothing (BSS) algorithm was employed to decohere multipath signals in beamspace, converting 2D DOA estimation into two 1D beamspace MUSIC DOA estimations.
• Elevation and azimuth angles were paired to derive complex gains for each signal path.

Main Results:

• The proposed BSS-MUSIC DOA estimation method using DMA demonstrated higher estimation accuracy compared to traditional approaches.
• The method achieved a significant reduction in computational complexity.

Conclusions:

• The Dynamic Metasurface Antenna (DMA) combined with the BSS-MUSIC algorithm offers a superior solution for DOA estimation.
• This approach effectively enhances accuracy and efficiency in wireless signal localization by dynamically focusing on the Region of Interest.