DOA estimation of underwater acoustic co-frequency sources for the coprime vector sensor array

Autor: Xiao Chen, Hao Zhang, Yong Gao, Zhen Wang
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Frontiers in Marine Science, Vol 10 (2023)
Druh dokumentu: article
ISSN: 2296-7745
DOI: 10.3389/fmars.2023.1211234
Popis: A coprime array with fewer sensors can achieve the same resolution as a uniform linear array. However, when detecting co-frequency targets, there can be prominent false alarms due to overlaps between the main and grating lobes of subarrays. This study proposes a direction-of-arrival (DOA) estimation method to obtain the co-frequency target directions from high grating lobes. The method utilizes joint processing of sound pressure and vibration velocity data from vector hydrophones of a coprime vector hydrophone array and designs joint-cross terms (JCTs) using channel combinations. Based on JCTs, we establish a characteristic data point identification algorithm. The method in this paper can stably and accurately acquire co-frequency target directions from high grating lobes without decoherence operation. Simulation results demonstrate that the proposed algorithm achieves accurate DOA estimation even with reduced signal-to-noise ratio (SNR) and fewer data points. Additionally, a sea experiment confirms the rationality and efficiency of the proposed algorithm, providing new ideas for co-frequency source detection using coprime vector sensor arrays.
Databáze: Directory of Open Access Journals