Array-based underwater acoustic target classification with spectrum reconstruction based on joint sparsity and frequency shift invariant feature

• Main Authors: Lu, Chenxiang, Zeng, Xiangyang, Wang, Qiang, Wang, Lu, Jin, Anqi
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2023
• Subjects: Engineering::Electrical and electronic engineering; Array Signal Processing; Structured Sparsity
• Online Access: https://hdl.handle.net/10356/171689
• Institution: Nanyang Technological University

The target spectrum, which is commonly used in feature extraction for underwater acoustic target classification, can be improperly recovered via conventional beamformer (CBF) owing to its frequency-variant spatial response and lead to degraded classification performance. In this paper, we propose a...