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Site amplification factors play an important role in the ASL method (Kumagai et al. 2013).
The ASL method has been summarized by Kumagai et al. (2010).
Battaglia and Aki (2003) developed the ASL method, which uses seismic amplitudes under the assumption of isotropic S-wave radiation.
We propose application of the amplitude source location (ASL) method to characterize the sources of tremor signals.
Fig. 7 Hypocenters of volcano-tectonic earthquakes on September 27 determined by a the ASL method and b routinely determined by Tokyo VOIC.
The ASL method has been used in various volcano-seismic studies (e.g., Battaglia et al. 2003, 2005a, 2005b; Kumagai et al. 2011b, 2014; Ogiso and Yomogida 2012, 2015).
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Passive acoustic source localization (ASL) methods are attractive for surveillance applications, which are a constant topic of interest.
The four ASL methods used are described in Section 7. The RMS error is defined in Section 7.1.
Results for the simulations using the four discussed ASL methods are given in Figures 6 and 7, for talker locations 1 and 2, respectively.
This article discusses a class of acoustic source localization (ASL) methods based on a two-step approach where first the measurement data is transformed using a time delay estimation (TDE) function and then combined to produce the spatial likelihood function (SLF).
The contour lines represent RMS error values at steps [0.2, 0.5] m.Method 1, SRP-PHAT PFMethod 2. Multi-PHAT PFMethod 3: Hamacher-PHAT PFMethod 4: MCCC-PHAT PF Figure 7 The figure presents simulation results for talker location 2. The four ASL methods used are described in Section 7. The RMS error is defined in Section 7.1.
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