A Novel Method for Near-Field Source Localization in Impulsive Noise Environments

Qiu, Tianshuang; Wang, Peng

doi:10.1007/s00034-015-0234-y

Cited by 11 publications

(2 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This limitation is due to the signal model, which considers plane waves only (or far-field source). High-resolution algorithms suited for the identification of near-field sources has been developed [59,60,61], and could be used to identify the parameters of waves with a wavefront which is not plane. Moreover, uncertainties in the wavevector could be quantified by using results of the perturbation analysis of the ESPRIT algorithm [48].…”

Section: Discussionmentioning

confidence: 99%

The High-Resolution Wavevector Analysis for the characterization of the dynamic response of composite plates

Margerit

Lebée

Caron

et al. 2019

Journal of Sound and Vibration

View full text Add to dashboard Cite

The High Resolution Wavevector Analysis (HRWA) is presented and its application illustrated. Extending the High Resolution Wavenumber Analysis method [1] to 2D signals, it allows the wide-band and local characterization of the linear elastic behavior of anisotropic plates. The method belongs to the family of experimental wavenumber-based characterization methods and uses the high resolution signal processing algorithm ESPRIT (Estimation of Signal Parameters via Rotational Invariance Techniques) and the ESTER criterion (ESTimation of ERror) to overcome some of the limitation of Fourier-based methods. Three experimental applications on composite plate specimens are presented. First (i), from the out-of-plane velocity field of a sandwich plate with a foam core, different wave types (bending, shear and compression) are extracted. The results are compared with numerical predictions. Second (ii), individual layer contributions are separated on a honeycomb sandwich plate by means of the observation of the dependence of the extracted complex wavevectors as a function of wave propagation direction and frequency. Third (iii), a local wavenumber extraction is performed on a 4-layer carbon-epoxy plate made of fiber patches with spatially varying orientations. The local specific bending stiffness of the plate is identified from the extracted wavevectors and compared with theoretical results.

show abstract

Section: Discussionmentioning

confidence: 99%

The High-Resolution Wavevector Analysis for the characterization of the dynamic response of composite plates

Margerit

Lebée

Caron

et al. 2019

Journal of Sound and Vibration

View full text Add to dashboard Cite

show abstract

“…To solve the localization problem of near-field sources in the impulsive noise, Wang et al [ 32 ] constructed matrixes by using FLOS and estimated position parameter of near-field sources by rooting method. By combing the concept of PFLOC and the GESPRIT method in [ 8 ], Qiu et al [ 33 ] proposed a new search-free method for near-field source localization under impulsive noise, referred to as the search-free PFLOC-based GESPRIT. We studied the near-field localization problem based on sparse reconstruction of the constructed far-field approximate FLOC vector by exploring the symmetrical characteristic of the array under impulse noise environment for the first time in [ 34 ].…”

Section: Introductionmentioning

confidence: 99%

Sparse Reconstruction Based Robust Near-Field Source Localization Algorithm

Lin

et al. 2018

Sensors

View full text Add to dashboard Cite

Non-Gaussian impulsive noise widely exists in the real world, this paper takes the α-stable distribution as the mathematical model of non-Gaussian impulsive noise and works on the joint direction-of-arrival (DOA) and range estimation problem of near-field signals in impulsive noise environment. Since the conventional algorithms based on the classical second order correlation statistics degenerate severely in the impulsive noise environment, this paper adopts two robust correlations, the fractional lower order correlation (FLOC) and the nonlinear transform correlation (NTC), and presents two related near-field localization algorithms. In our proposed algorithms, by exploring the symmetrical characteristic of the array, we construct the robust far-field approximate correlation vector in relation with the DOA only, which allows for bearing estimation based on the sparse reconstruction. With the estimated bearing, the range can consequently be obtained by the sparse reconstruction of the output of a virtual array. The proposed algorithms have the merits of good noise suppression ability, and their effectiveness is demonstrated by the computer simulation results.

show abstract

Near-Field Localization Algorithm Based on Sparse Reconstruction of the Fractional Lower Order Correlation Vector

Lin

et al. 2017

Wireless Algorithms, Systems, and Applications

View full text Add to dashboard Cite

A Novel Method for Near-Field Source Localization in Impulsive Noise Environments

Cited by 11 publications

References 18 publications

The High-Resolution Wavevector Analysis for the characterization of the dynamic response of composite plates

The High-Resolution Wavevector Analysis for the characterization of the dynamic response of composite plates

Sparse Reconstruction Based Robust Near-Field Source Localization Algorithm

Near-Field Localization Algorithm Based on Sparse Reconstruction of the Fractional Lower Order Correlation Vector

Contact Info

Product

Resources

About