A Direction-of-Arrival Estimation Algorithm Based on Compressed Sensing and Density-Based Spatial Clustering and Its Application in Signal Processing of MEMS Vector Hydrophone

A Direction-of-Arrival Estimation Algorithm Based on Compressed Sensing and Density-Based Spatial Clustering and Its Application in Signal Processing of MEMS Vector Hydrophone

Direction of arrival (DOA) estimation has always been a hot topic for researchers. The complex and changeable environment makes it very challenging to estimate the DOA in a small snapshot and strong noise environment. The direction-of-arrival estimation method based on compressed sensing (CS) is a n...

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Bibliographic Details
Main Authors: Huichao Yan, Ting Chen, Peng Wang, Linmei Zhang, Rong Cheng, Yanping Bai
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Sensors
Subjects:
direction of arrival estimation
compressed sensing
density-based spatial clustering
MEMS vector hydrophone
small snapshots
low signal to noise ratio
Online Access:https://www.mdpi.com/1424-8220/21/6/2191

Internet

https://www.mdpi.com/1424-8220/21/6/2191

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