DOA estimation based on N-shape array

This paper combines the L-shaped array and two parallel linear arrays to propose an N-shape array configuration. For the N-shape array, the multiple signal classification (MUSIC) algorithm is utilized for DOA estimation under far-field conditions. When the signal source is in the far-field region, the signal arriving at the array elements can typically be represented as a plane wave. By utilizing the array manifold matrices of the L-shaped array and two parallel linear arrays, the array manifold matrix for the N-shape array is derived, which is then used for DOA estimation via the MUSIC algorithm. Simulation results indicate that the N-shape array can effectively achieve DOA estimation of signals in far-field conditions using the MUSIC algorithm.

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Published
2025-04-23
DOI
https://doi.org/10.1117/12.3066065
Primary Topic
Structural Health Monitoring Techniques
Type
article
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article

DOA estimation based on N-shape array

Chuang Han, Mingze Gao
Structural Health Monitoring Techniques
article

DOA estimation based on N-shape array

Chuang Han, Mingze Gao
article en

Abstract

This paper combines the L-shaped array and two parallel linear arrays to propose an N-shape array configuration. For the N-shape array, the multiple signal classification (MUSIC) algorithm is utilized for DOA estimation under far-field conditions. When the signal source is in the far-field region, the signal arriving at the array elements can typically be represented as a plane wave. By utilizing the array manifold matrices of the L-shaped array and two parallel linear arrays, the array manifold matrix for the N-shape array is derived, which is then used for DOA estimation via the MUSIC algorithm. Simulation results indicate that the N-shape array can effectively achieve DOA estimation of signals in far-field conditions using the MUSIC algorithm.

Harbin University of Science and Technology (CN)
Openalex Percentile: Top 91%
Structural Health Monitoring Techniques
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