Frequency Analysis of Acoustic Data Using Multiple-Measurement Sparse Bayesian Learning
Passive sonar systems are used to detect the acoustic signals that are radiated from marine objects (e.g., surface ships, submarines, etc.), and an accurate estimation of the frequency components is crucial to the target detection. In this paper, we introduce sparse Bayesian learning (SBL) for the f...
Main Authors: | Myoungin Shin, Wooyoung Hong, Keunhwa Lee, Youngmin Choo |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-08-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/21/17/5827 |
Similar Items
-
Sparse Aperture InISAR Imaging via Sequential Multiple Sparse Bayesian Learning
by: Shuanghui Zhang, et al.
Published: (2017-10-01) -
Sparse Bayesian Learning for Channel Estimation in Time-Varying Underwater Acoustic OFDM Communication
by: Gang Qiao, et al.
Published: (2018-01-01) -
Bayesian Learning-Based Clustered-Sparse Channel Estimation for Time-Varying Underwater Acoustic OFDM Communication
by: Shuaijun Wang, et al.
Published: (2021-07-01) -
Acoustic DOA estimation using space alternating sparse Bayesian learning
by: Zonglong Bai, et al.
Published: (2021-04-01) -
Blind Modulation Identification of Underwater Acoustic MPSK Using Sparse Bayesian Learning and Expectation Maximization
by: Tao Fang, et al.
Published: (2020-08-01)