Two-stage MUSIC with reduced spectrum search for spherical arrays

Huang, Qinghua; Feng, Jiajun; Huang, Jingbiao; Fang, Yong

doi:10.1016/j.dsp.2020.102836

Cited by 3 publications

(2 citation statements)

References 32 publications

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“…It is claimed that converting complex domain computations of spatial spectrum estimation algorithms into real domains can reduce the computation complexity of DOA estimation. [15][16][17][18][19] Liu 18 proposed a fast algorithm for root-MUSIC with real-valued eigendecomposition which requires a large number of snapshots and high SNR. In recent years, Yan and Ming applied compressive sensing theory in DOA estimation, [20][21][22] which effectively estimates the DOA by reconstructing the original signal with very few observations, but there is a limit to the amount of computation that can be reduced in this way.…”

Section: Introductionmentioning

confidence: 99%

A fast 3D-MUSIC method for near-field sound source localization based on the bat algorithm

Yang

Sun

Guo

et al. 2022

International Journal of Aeroacoustics

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To improve the computation and real-time performances of the multiple signal classification (MUSIC) algorithm in 3D space, a fast sound source localization method based on the bat algorithm (BA) and the 3D-MUSIC, called BA-based 3D-MUSIC algorithm (3D-BMUSIC), is presented in this paper. 3D-BMUSIC greatly reduces the computation load by replacing the regular grid search with the BA. First, the near-field spherical wave model is established to obtain the spectral function of the 3D-MUSIC. Then, the spectral function is defined as the fitness function, which calculates the fitness value corresponding to each bat position. Finally, the global optimal bat position with the largest fitness value, as sound source localization, is obtained by successive iteration and sorting. The simulation and experiment show that 3D-BMUSIC accurately estimates the DOA and distance of near-field sources, and the root-mean-square error (RMSE) of 3D-BMUSIC is less than that of 3D-MUSIC. In addition, 3D-BMUSIC effectively reduces the computation time by approximately 96–98%. With shorter computation time and higher efficiency, 3D-BMUSIC promotes hardware implementation and is more suitable for high-precision localization of near-field sound sources.

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Section: Introductionmentioning

confidence: 99%

A fast 3D-MUSIC method for near-field sound source localization based on the bat algorithm

Yang

Sun

Guo

et al. 2022

International Journal of Aeroacoustics

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“…Compared with onedimensional (1-D) DOA, the 2-D DOA needs to estimate both the elevation angle and azimuth angle, so it has more superior performance in locating the directions of incident sources and wider applied situations in practice [2,3]. Over decades, a large number of high-precision algorithms have been proposed for 2-D DOA estimation, including the maximum likelihood (ML) algorithm [4][5][6], multiple signal classification (MUSIC) algorithm [7][8][9][10], Root-MUSIC [11][12][13][14] and estimation of signal parameters via rotational invariance techniques (ESPRIT) algorithm [15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Velocity‐independent two‐dimensional direction‐of‐arrival estimation algorithm with three parallel linear arrays

Ning

Zhang

2021

IET Signal Processing

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In order to eliminate the influence of acoustic velocity variable on the estimation accuracy when the signal propagates under water, this paper proposes a velocity‐independent two‐dimensional (2‐D) direction‐of‐arrival (DOA) estimation algorithm with three parallel uniform linear arrays. Based on the double parallel linear arrays (DPLA), this algorithm adds another parallel linear array that is not in the same plane as DPLA, which is called three parallel linear arrays. By employing the matrix signal processing among those three arrays, the acoustic velocity variable can be removed from the expressions of elevation and azimuth. And the azimuth and elevation angles of the target are obtained by linear partitive operation, which does not need spectrum peak search or additional angle matching procedure. The simulation results demonstrate that the proposed algorithm performs better than the traditional 2‐D DOA algorithms in the underwater environment of unknown acoustic velocity. Compared with the velocity‐independent 2‐D DOA algorithm, it has lower computational complexity.

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A novel hybrid algorithm for two-dimensional direction-of-arrival estimation in massive MIMO systems

Aal Dhaheb,

Mahyuddin

2024

Computers and Electrical Engineering

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Two-stage MUSIC with reduced spectrum search for spherical arrays

Cited by 3 publications

References 32 publications

A fast 3D-MUSIC method for near-field sound source localization based on the bat algorithm

A fast 3D-MUSIC method for near-field sound source localization based on the bat algorithm

Velocity‐independent two‐dimensional direction‐of‐arrival estimation algorithm with three parallel linear arrays

A novel hybrid algorithm for two-dimensional direction-of-arrival estimation in massive MIMO systems

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