| Autor: |
Ciodaro, Thiago, Bozzi, Fabrício, de Seixas, José Manoel |
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| Zdroj: |
Journal of Control, Automation & Electrical Systems; Aug2024, Vol. 35 Issue 4, p639-648, 10p |
| Abstrakt: |
Selecting the number of sensors to be actually used in acoustical signal beamformings that employ a given sensor array with a fixed number of elements is important for performance optimization in signal detection applications. Adding sensors to the beamforming computation might introduce excess noise into the measured signal, but selecting too few sensors reduces the beampattern resolution. Additionally, the sensor signals may be weighted to compensate for the background noise or known signal sources. In this paper, a maximum likelihood estimator is developed for the signal beamforming and the signal-to-noise ratio is used as a key performance indicator for determining the point at which adding sensors deteriorates the overall signal readout efficiency. As a case study, an experimental onshore passive sonar readout chain is analyzed through signal beamforming with a circular array with 32 sensors. The experimental results were supported by simulations and showed that the described method was able to calibrate the delay-and-sum algorithm for its best performance under noisy conditions. Good agreement has been obtained with a heuristic approximation from expert knowledge, and the method expands it to general applications. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Supplemental Index |
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