Fast DOA Estimation Algorithms via Positive Incremental Modified Cholesky Decomposition for Augmented Coprime Array Sensors

Fast DOA Estimation Algorithms via Positive Incremental Modified Cholesky Decomposition for Augmented Coprime Array Sensors

This paper proposes a fast direction of arrival (DOA) estimation method based on positive incremental modified Cholesky decomposition atomic norm minimization (PI-CANM) for augmented coprime array sensors. The approach incorporates coprime sampling on the augmented array to generate a non-uniform, d...

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Bibliographic Details
Main Authors: Jing Song, Lin Cao, Zongmin Zhao, Dongfeng Wang, Chong Fu
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Sensors
Subjects:
DOA estimation
virtual interpolation
covariance matrix reconstruction
atomic norm minimization
positive incremental modified Cholesky decomposition
Online Access:https://www.mdpi.com/1424-8220/23/21/8990

Internet

https://www.mdpi.com/1424-8220/23/21/8990

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