Two infrasound stations are deployed on the Romanian territory: IPLOR 4-element array of 0.6 km aperture, and BURARI 6-element array of 0.7 km aperture. Infrasound data are processed and analyzed on routinely basis at NIEP by using infrasound detection-oriented software (DTK-GPMCC and DTK-DIVA) packaged into NDC-in-a-Box. This study focuses on the high frequency signals (above 1 Hz) detected...
Ensuring IMS station data availability is critically important to the mission of the Comprehensive Nuclear Test-Ban-Treaty Preparatory Commission Organization. Monitoring a wide range of state-of-health (SOH) metrics in the power system of an array can help maximize station uptime. The Wilson Alaska Technical Center of the University of Alaska Fairbanks is continuously working on techniques to...
In this study, we focus on recent advancements in infrasound research and the operational capabilities of regional networks in South America. Our work involves developing an innovative algorithm using the ObsPy library and custom Python routines to enhance the analysis of infrasound data from the International Monitoring System (IMS) network. By applying techniques similar to Progressive...
Generalized least squares (GLS) beamforming is a method for determining the direction of arrival and trace velocity of transient infrasound signals that may be otherwise obscured by persistent, correlated background noise, such as microbaroms. This method complements the adaptive F-detector by using an estimate of the noise background to form a generalized power ratio, which is used to...
We present a novel approach to the detection and parameter estimation of infrasonic signals: the Multi-Channel Maximum-Likelihood (MCML) method [https://doi.org/10.1093/gji/ggac377]. MCML is based on the likelihood function derived from a multi-sensor stochastic model expressed in different frequency bands. Using the likelihood function, we determine, for the detection problem, the Generalized...
