Narrowband source localization in an unknown reverberant environment usingwavefield sparse decomposition
Résumé
We propose a method for narrowband localization of sources in an unknown reverberant field. A sparse model for the wavefield is introduced, derived from the physical equations. We compare two localization algorithms that take advantage on the structured sparsity naturally present into the model: a greedy iterative scheme, and an #x2113;1 minimization method. Both methods are validated in 2D on numerical simulations, and on experimental data with a chaotic-shaped plate. These results, robust with respect to the specific sampling of the field and to noise, show that this approach may be an interesting alternative to traditional approaches of source localization, when a large number of narrowband sensors are deployed.
Mots clés
acoustic waves
chaotic-shaped plate
greedy iterative scheme
localization algorithms
minimization method
narrowband sensors
narrowband source localization
numerical simulations
physical equations
sparse model
structured sparsity
unknown reverberant environment
wavefield sparse decomposition
acoustic signal processing
chaos
iterative methods
minimisation
reverberation
sparse matrices