Your browser doesn't support javascript.
loading
An iteratively reweighted steered response power approach to multisource localization using a distributed microphone network.
Dang, Xudong; Zhu, Hongyan.
Afiliación
  • Dang X; National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an, 710071, China.
  • Zhu H; Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, 710049, China.
J Acoust Soc Am ; 155(2): 1182-1197, 2024 Feb 01.
Article en En | MEDLINE | ID: mdl-38341744
ABSTRACT
The steered response power (SRP) with phase transform algorithm has been demonstrated to be robust against reverberation and noise for single-source localization. However, when this algorithm is applied to multisource localization (MSL), the "peak missing problem" can occur, namely, that some sources dominate over others over short time intervals, resulting in fewer significant SRP peaks being found than the true number of sources. This problem makes it difficult to detect all the sources among the available SRP peaks. We propose an iteratively reweighted steered response power (IR-SRP) approach that effectively solves the "peak missing problem" and achieves robust MSL in reverberant noisy environments. The initial IR-SRP localization function is computed over the time-frequency (T-F) bins selected by a combination of two weighting schemes, one using coherence, and the other using signal-to-noise ratio. When iterating, our method finds the significant SRP peaks for the dominant sources and eliminates the T-F bins contributed by these sources using inter-channel phase difference information. As a result, the remaining sources can be found in subsequent iterations among the remaining T-F bins. The proposed IR-SRP method is demonstrated using both simulated and measured experiment data.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Acoust Soc Am Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Acoust Soc Am Año: 2024 Tipo del documento: Article País de afiliación: China
...