Abstract
The localization of outdoor acoustic sources has attracted attention in wireless sensor networks. In this paper, the steered response power (SRP) localization of band-pass signal associated with steering time delay uncertainty and coarser spatial grids is considered. We propose a modified SRP-based source localization method for enhancing the localization robustness in outdoor scenarios. In particular, we derive a sufficient condition dependent on the generalized cross-correlation (GCC) waveform function for robust on-grid source localization and show that the SRP function with GCCs satisfying this condition can suppress the disturbances induced by the grid distance and the uncertain steering time delays. Then a GCC refinement procedure for band-pass GCCs is designed, which uses complex wavelet functions in multiple sub-bands to filter the GCCs and averages the envelopes of the filtered GCCs as the equivalent GCC to match the sufficient condition. Simulation results and field experiments demonstrate the excellent performance of the proposed method against the existing SRP-based methods.
Highlights
With the rapid development of communication technology and mobile computing devices, applications of wireless acoustic sensor networks (WASNs) are becoming popular in acoustic signal processing
The authors adopt the weighted SVD (WSVD)-Frequency-Sliding GCC (FSGCC) to the Modified-SRP functional (MSRP) functional for source localization
We use Monte Carlo simulations to analyze the efficiency of the proposed steered response power (SRP)-based localization method, compared with the traditional SRP functional with generalized cross-correlation (GCC)-Phase Transform (PHAT) (PS), the SRP functional—the envelope of GCC-PHAT (PES) that is designed for acoustic band-pass signals [21], the modified-SRP (M-SRP) functional with GCC-PHAT (PM) [18] in which grid resolution is considered, and the M-SRP functional with the envelope of GCC-PHAT (PEM) in which both band-pass and grid resolution are considered
Summary
With the rapid development of communication technology and mobile computing devices, applications of wireless acoustic sensor networks (WASNs) are becoming popular in acoustic signal processing. The SRP-based approaches can provide a robust solution in DOA estimation and source localization tasks in confined spaces They could lose their robustness in an outdoor WASN scenario due to the synthetic effect of the following factors. In [30], the authors propose a Frequency-Sliding GCC (FSGCC) method, which uses singular value decomposition (SVD) or weighted SVD (WSVD) on the FSGCC matrix and can intelligently extract time delay information of the source signal from multiple sub-band GCCs. The authors adopt the WSVD-FSGCC to the MSRP functional for source localization. Some useful information is compressed, which results in unstable performance In this direction, in this paper, a robust SRP-based outdoor source localization problem is discussed.
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