Source distance determination based on the spherical harmonics

Koutný, Adam; Jiříček, Ondřej; Thomas, Jean‐Hugh; Brothánek, Marek

doi:10.1016/j.ymssp.2016.09.015

Cited by 10 publications

(3 citation statements)

References 14 publications

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“…In addition, for NF sources, some techniques have been reported in the literature for the estimation of range [40,[52][53][54] and DoA [7, 9-31, 45, 55]. There is a noticeable variation in the received energy at various observation points in NF EM wave propagation, because of the change in distance that exists between the source and point of observation.…”

Section: Wireless Communications and Mobile Computingmentioning

confidence: 99%

Source Localization of EM Waves in the Near‐Field of Spherical Antenna Array in the Presence of Unknown Mutual Coupling

Famoriji

Shongwe

2021

Wireless Communications and Mobile Computing

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To obtain an antenna array with isotropic radiation, spherical antenna array (SAA) is the right array configuration. The challenges of locating signals transmitted within the proximity of antenna array have been investigated considerably in the literature. However, near-field (NF) source localization of signals has hitherto not been investigated effectively using SAA in the presence of mutual coupling (MC). MC is another critical problem in antenna arrays. This paper presents an NF range and direction-of-arrival (DoA) estimation technique via the direction-independent and signal invariant spherical harmonics (SH) characteristics in the presence of mutual coupling. The energy of electromagnetic (EM) signal on the surface of SAA is captured successfully using a proposed pressure interpolation approach. The DoA estimation within the NF region is then calculated via the distribution of pressure. The direction-independent and signal invariant characteristics, which are SH features, are obtained using the DoA estimates in the NF region. We equally proposed a learning scheme that uses the source activity detection and convolutional neural network (CNN) to estimate the range of the NF source via the direction-independent and signal invariant features. Considering the MC problem and using the DoA estimates, an accurate spectrum peak in the multipath situation in conjunction with MC and a sharper spectrum peak from a unique MC structure and smoothing algorithms are obtained. For ground truth performance evaluation of the SH features within the context of NF localization, a numerical experiment is conducted and measured data were used for analysis to incorporate the MC and consequently computed the root mean square error (RMSE) of the source range and NF DoA estimate. The results obtained from numerical experiments and measured data indicate the validity and effectiveness of the proposed approach. In addition, these results are motivating enough for the deployment of the proposed method in practical applications.

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Section: Wireless Communications and Mobile Computingmentioning

confidence: 99%

Source Localization of EM Waves in the Near‐Field of Spherical Antenna Array in the Presence of Unknown Mutual Coupling

Famoriji

Shongwe

2021

Wireless Communications and Mobile Computing

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“…Ning 35 proposed the use of compressed sensing in three-dimensional localization. Chu [36][37][38][39][40] and Koutny 41 studied the three-dimensional deconvolution method based on the spherical array and compared the localization effect of various methods. Wang 42 proposed expectation-maximization (EM) and Evidential EM (E2M) algorithm to estimate multiple sound sources in a statistical framework by maximum likelihood.…”

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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“…This method was demonstrated to overcome typical problems affecting other frequency-domain beamforming techniques such as zero-padded fast Fourier transform beamforming. In particular, the accelerated proximal gradient singular value thresholding-based linearly constrained singular canceler (APG-LCSC) algorithm [12] has been demonstrated to provide highly accurate 2D beamforming using a sparse array.…”

Section: Introductionmentioning

confidence: 99%

Three-dimensional localization of point acoustic sources using a planar microphone array combined with beamforming

et al. 2018

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This paper presents a beamforming-based acoustic imaging (BBAI) method employing a two-dimensional (2D) microphone array that not only can locate an acoustic source in the XY plane parallel to the array, but can also identify the distance between the source and array in the Z direction, denoted as the source depth, and thus provides three-dimensional (3D) localization ability. In this method, the acoustic field is reconstructed on virtual XY planes at different distances along the Z direction. The source depth is then determined according to the virtual plane providing the maximum response of the acoustic field. The location of the source in the X and Y directions of the identified virtual plane can then be easily determined based on the standard beamforming principles of a planar array. The proposed BBAI method is evaluated based on simulations involving single- and multiple-point sources, and corresponding experimental evaluations are similarly conducted in an anechoic chamber. Both simulation and experimental results demonstrate that the proposed method is capable of locating acoustic sources in 3D space.

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Source distance determination based on the spherical harmonics

Cited by 10 publications

References 14 publications

Source Localization of EM Waves in the Near‐Field of Spherical Antenna Array in the Presence of Unknown Mutual Coupling

Source Localization of EM Waves in the Near‐Field of Spherical Antenna Array in the Presence of Unknown Mutual Coupling

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

Three-dimensional localization of point acoustic sources using a planar microphone array combined with beamforming

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