Line Spectrum Detection Technique Based on Joint Processing of Acoustic Pressure and Acceleration Signals from Vector Hydrophones
Weixuan Zhang, Yu Chen, Yan Liang, Zhou Meng · 2024
In the detection of line spectrum targets using vector hydrophones, acoustic pressure and particle velocity signals are commonly processed jointly to suppress isotropic noise and reduce the probability of false positives and negatives. Given that fiberoptic vector hydrophones acquire acceleration signals directly, obtaining particle velocity requires the integration of acceleration, which can lead to the accumulation or amplification of low-frequency noise and increase the computational load of the algorithm. This paper proposes a method that utilizes directly both acoustic pressure and acceleration signals in conjunction with adaptive local thresholds for the extraction of low-frequency line spectra. The effectiveness of the algorithm was validated through sea trial data. The algorithm achieved efficient extraction of target characteristic line spectra, enabling autonomous analysis and processing of underwater low-frequency line spectrum targets, which gives it a significant engineering application value.