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Sniper localization has become a very critical problem in modern day land warfare. A gunshot leaves many physical signatures which can be utilized to trace the direction and origin of it. Audio signals are by far the most reliable and affordable such signatures and have been utilized for the said task. In this paper, the characteristic shape of shock-wave waveforms along with Time of Arrival (ToA)...
In this paper, a fast method for the extraction of pinna spectral notches (PSN) in the median plane of a virtual spherical microphone array is discussed. In general, PSN can be extracted from the Head Related Impulse Response (HRIR) measured by a spherical array of microphones. However, the PSN extracted herein are computationally complex and also not accurate at lower elevation angles. This work...
Subspace-based source localization methods utilize the spectral magnitude of the MUltiple SIgnal Classification (MUSIC) method. However, in all these methods, a large number of sensors are required to resolve closely spaced sources. A novel method for high resolution source localization based on the group delay of MUSIC is described in this work. The method can resolve both the azimuth and elevation...
Subspace-based methods require a large number of sensors for localization of closely spaced sources since the spectral magnitude of Multiple Signal Classification (MUSIC) is used. However, the MUSIC-Group delay (MUSIC-GD) method has been used earlier to resolve closely spaced sources with a limited number of sensors. In this work, the MUSIC-GD method is used in high resolution azimuth and elevation...
Conventional sub space based approaches for source localization use the spectral magnitude of MUSIC. In this paper, a group delay based method for source localization of spatially close speech sources over circular arrays, with minimal number of sensors is proposed. This approach is based on the MUSIC-Group delay spectrum and can be used to accurately estimate both azimuth and elevation angles of...
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