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- Title
NEAR–OPTIMUM DETECTION OF SIGNALS IN UNDERWATER ACOUSTIC NOISE USING LOCALLY OPTIMAL DETECTOR IN TIGERS RIVER.
- Authors
Al-Aboosi, Yasin Yousif; Ahmed, Mustafa Sami; Sahrab, Ammar Ali
- Abstract
Signal detection has been considered important in the under-water signal processing and digital communications, and depending upon noise statistics’ knowledge, near - optimum signal detections in the underwater acoustic noises (UWANs) may be realised in a more effective manner. The theory of the normal (i.e. Gaussian) noise permits using matched filter (MF) detectors; for that reason, locally optimal (LO) detector has been designed in the present work for improving the probability of the detection (PD) based upon knowing the probability density function (PDF) of noise. Under-water noise that has been utilized for the validation represents the real data that had been gathered from the sea with the use of the broad-band hydrophones at Abo Dali district -Kazem Al Ali Village-Tigris Beaches-Baghdad-Iraq. The LO detector performance is compared after that to conventional matched filter detector and those have been assessed based on their PD values. For time-varying signal, the probability of the false alarms that has been identified as 0.010, and a PD of 90%, energy-to-noise ratios (ENRs) of LO are more efficient compared to the ones of Matched Filter by 4.1dB and for the signals with fixed frequency, LO is more efficient compared to matched filter by 4.7dB.
- Subjects
UNDERWATER noise; ACOUSTIC signal detection; NOISE; DIGITAL signal processing; MATCHED filters; DIGITAL communications; ACOUSTIC transducers; PROBABILITY density function
- Publication
Journal of Engineering & Sustainable Development, 2023, Vol 27, Issue 1, p19
- ISSN
2520-0917
- Publication type
Article
- DOI
10.31272/jeasd.27.1.2