Journal ArticleDOI
Compressive Sensing-Based Sound Source Localization for Microphone Arrays
TLDR
A novel sound source localization method based on compressive sensing theory that can directly determine the number of sound sources in one step and successfully estimate the source positions in noisy and reverberant environments is proposed.Abstract:
Sound source localization with less data is a challenging task. To address this problem, a novel sound source localization method based on compressive sensing theory is proposed in this paper. Specifically, a sparsity basis is first constructed for each microphone by shifting the audio signal recorded from one reference microphone. In this manner, the microphones except the reference one are allowed to capture audio signals under the sampling rate far below the Nyquist criterion. Next, the source positions are estimated by solving an $$l_1$$
minimization based on each frame of audio signals. Finally, a fine localization scheme is presented by fusing the estimated source positions from multiple frames. The proposed method can directly determine the number of sound sources in one step and successfully estimate the source positions in noisy and reverberant environments. Experimental results demonstrate the validity of the proposed method.read more
Citations
More filters
Journal ArticleDOI
Sound Localization Based on Acoustic Source Using Multiple Microphone Array in an Indoor Environment
TL;DR: In this article , two microphone linear arrays were used to locate the sound source in an indoor environment by using the generalized cross-correlation algorithm to calculate the TDOA, which is also designed to deal with the problem of delay in the reception of sound signals from two microphone arrays.
Journal ArticleDOI
Multi-frequency sequential sparse Bayesian learning for DOA estimation of the moving wideband sound source
Guo Chen,Yonggang Lu +1 more
TL;DR: In this paper , a multi-frequency sequential sparse Bayesian learning (SBL) is proposed for the direction of arrival (DOA) estimation of the moving wideband sound source, where gamma hyperprior is used as sparsity-promoting prior for multiscale bins.
Journal ArticleDOI
Low-frequency sound source localization in enclosed space based on time reversal method
TL;DR: In this paper , the authors proposed a time reversal sparse Bayesian learning (TR-SBL) method to solve the problem of sound source localization in enclosed space at low frequencies, which can overcome the reverberation interference in the enclosed space, and the compressive sensing algorithm can improve the spatial resolution.
Journal ArticleDOI
Sparse Bayesian learning for sparse signal recovery using <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si5.svg"><mml:mrow><mml:msub><mml:mrow><mml:mi>ℓ</mml:mi></mml:mrow><mml:mrow><mml:mn>1</mml:mn><mml:mo>/</mml:mo><mml:mn>2</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math>-
TL;DR: In this article , a sparse signal recovery approach for acoustic direction-of-arrival (DOA) estimation based on a hierarchical formulation of the generalized Gaussian prior with a shape parameter q = 1/2 is proposed.
References
More filters
Book
Compressed sensing
TL;DR: It is possible to design n=O(Nlog(m)) nonadaptive measurements allowing reconstruction with accuracy comparable to that attainable with direct knowledge of the N most important coefficients, and a good approximation to those N important coefficients is extracted from the n measurements by solving a linear program-Basis Pursuit in signal processing.
Journal ArticleDOI
Atomic Decomposition by Basis Pursuit
TL;DR: This work gives examples exhibiting several advantages over MOF, MP, and BOB, including better sparsity and superresolution, and obtains reasonable success with a primal-dual logarithmic barrier method and conjugate-gradient solver.
Journal ArticleDOI
Robust localization and tracking of simultaneous moving sound sources using beamforming and particle filtering
TL;DR: A robust sound source localization and tracking method using an array of eight microphones based on a frequency-domain implementation of a steered beamformer along with a particle filter-based tracking algorithm that allows a mobile robot to interact using more natural means with people in real-life settings.
Journal ArticleDOI
Time-delay estimation via linear interpolation and cross correlation
TL;DR: It is shown that this new algorithm can take advantage of the redundancy provided by multiple microphone sensors to improve TDE against both reverberation and noise and can be treated as a natural generalization of the generalized cross correlation (GCC) TDE method to the multichannel case.
Journal ArticleDOI
A generalized ESPRIT approach to direction-of-arrival estimation
Feifei Gao,Alex B. Gershman +1 more
TL;DR: A new spectral search-based direction-of-arrival (DOA) estimation method is proposed that extends the idea of the conventional ESPRIT DOA estimator to a much more general class of array geometries than assumed by the conventional EspRIT technique.