One-Dimensional MUSIC-Type Algorithm for Spherical Microphone Arrays
Spherical microphone arrays have been widely used in direction-of-arrival (DOA) estimation in recent years. The conventional multiple signal classification method formulated in spherical harmonic domain (SHMUSIC) is computationally expensive, particularly in the application of joint estimation of th...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/8985336/ |
| _version_ | 1818735837967286272 |
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| author | Qinghua Huang Tingwei Chen |
| author_facet | Qinghua Huang Tingwei Chen |
| author_sort | Qinghua Huang |
| collection | DOAJ |
| description | Spherical microphone arrays have been widely used in direction-of-arrival (DOA) estimation in recent years. The conventional multiple signal classification method formulated in spherical harmonic domain (SHMUSIC) is computationally expensive, particularly in the application of joint estimation of the azimuth and elevation. In this paper, one-dimensional MUSIC-type approach (ODMUSIC) is proposed to estimate the elevation and azimuth. We construct a mapping matrix between the spherical harmonic function and Fourier series, then utilize the Vandermonde structure of Fourier series to develop the polynomial rooting method. The mapping matrix only depends on the array configuration and can be calculated prior to DOA estimation. The two-dimensional angle search can be transformed into two one-dimensional angle findings based on the mapping matrix. By using the characteristic of Fourier series, we can construct two root polynomials to estimate the azimuth and elevation, respectively. The proposed method can avoid the two-dimensional spectral search and the angles are automatically paired. Computer simulations validate the effectiveness of the proposed method. |
| first_indexed | 2024-12-18T00:27:36Z |
| format | Article |
| id | doaj.art-f3e92d6a7f934dab8b431f70ad1283a0 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-18T00:27:36Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-f3e92d6a7f934dab8b431f70ad1283a02022-12-21T21:27:12ZengIEEEIEEE Access2169-35362020-01-018281782818710.1109/ACCESS.2020.29720698985336One-Dimensional MUSIC-Type Algorithm for Spherical Microphone ArraysQinghua Huang0Tingwei Chen1https://orcid.org/0000-0001-6196-3474Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Shanghai University, Shanghai, ChinaKey Laboratory of Specialty Fiber Optics and Optical Access Networks, Shanghai University, Shanghai, ChinaSpherical microphone arrays have been widely used in direction-of-arrival (DOA) estimation in recent years. The conventional multiple signal classification method formulated in spherical harmonic domain (SHMUSIC) is computationally expensive, particularly in the application of joint estimation of the azimuth and elevation. In this paper, one-dimensional MUSIC-type approach (ODMUSIC) is proposed to estimate the elevation and azimuth. We construct a mapping matrix between the spherical harmonic function and Fourier series, then utilize the Vandermonde structure of Fourier series to develop the polynomial rooting method. The mapping matrix only depends on the array configuration and can be calculated prior to DOA estimation. The two-dimensional angle search can be transformed into two one-dimensional angle findings based on the mapping matrix. By using the characteristic of Fourier series, we can construct two root polynomials to estimate the azimuth and elevation, respectively. The proposed method can avoid the two-dimensional spectral search and the angles are automatically paired. Computer simulations validate the effectiveness of the proposed method.https://ieeexplore.ieee.org/document/8985336/Direction-of-arrival (DOA) estimationFourier seriespolynomial rootsphere microphone arraysspherical harmonic function |
| spellingShingle | Qinghua Huang Tingwei Chen One-Dimensional MUSIC-Type Algorithm for Spherical Microphone Arrays IEEE Access Direction-of-arrival (DOA) estimation Fourier series polynomial root sphere microphone arrays spherical harmonic function |
| title | One-Dimensional MUSIC-Type Algorithm for Spherical Microphone Arrays |
| title_full | One-Dimensional MUSIC-Type Algorithm for Spherical Microphone Arrays |
| title_fullStr | One-Dimensional MUSIC-Type Algorithm for Spherical Microphone Arrays |
| title_full_unstemmed | One-Dimensional MUSIC-Type Algorithm for Spherical Microphone Arrays |
| title_short | One-Dimensional MUSIC-Type Algorithm for Spherical Microphone Arrays |
| title_sort | one dimensional music type algorithm for spherical microphone arrays |
| topic | Direction-of-arrival (DOA) estimation Fourier series polynomial root sphere microphone arrays spherical harmonic function |
| url | https://ieeexplore.ieee.org/document/8985336/ |
| work_keys_str_mv | AT qinghuahuang onedimensionalmusictypealgorithmforsphericalmicrophonearrays AT tingweichen onedimensionalmusictypealgorithmforsphericalmicrophonearrays |