Matched field source detection and localization in high noise environments: A novel reduced-rank signal processing approach

Optical and Acoustic Sensor-Based 3D Ball Motion Estimation for Ball Sport Simulators †

“…Based on the type of mapping function, sound source localization methods can be divided into two types: parametric [ 9 , 10 ] and non-parametric [ 11 ]. Acoustic holography [ 12 ], one of typical non-parametric methods, can detect not only the position of the sound source but also the characteristics of the sound field.…”

Underwater source localization with a generalized likelihood ratio processor

“…Each measurement of the directional interference is "low rank" provided it can be modeled as some linear combination of r basis vectors or modes. Low rank is applicable whenever the number of modes is less than the number of sensors [9]. Throughout this research we assume that r is known and represents the number of jammers.…”

“…We want to decide between hypotheses H 0 and H). We assume that the probability of the two hypotheses are equal; therefore, the maximum likelihood receiver is the likelihood ratio test [9]. The LR is a ratio of the probabilities of X in the cases of H; and HI.…”

“…Since E, A, b, and cr are not known, we propose a generalized likelihood-ratio test (GLRT) to detect and localize the signal. The GLRT is constructed by replacing the unknown signal amplitude and covariance matrix with their maximum likelihood (ML) estimates [9]:…”