Robust direction-of-arrival estimation based on sparse asymptotic minimum variance

Robust direction-of-arrival estimation based on sparse asymptotic minimum variance

This study proposes a direction-of-arrival (DOA) estimation algorithm named robust sparse asymptotic minimum variance (RSAMV) to solve the current DOA algorithms' problems, such as the difficulty in weak target estimation, low resolution and the incapacity of separating coherent signal estimati...

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Bibliographic Details
Main Authors: Xiangyu Zhang, Jun Sun, Xingrong Cao
Format: Article
Language:English
Published: Wiley 2019-10-01
Series:The Journal of Engineering
Subjects:
covariance matrices
iterative methods
direction-of-arrival estimation
object detection
current doa algorithms
weak target estimation
coherent signal estimation
virtual weak target
dynamic diagonal loading
weak target loss
ultra-low side lobe
spatial spectrum
high-resolution estimation
space target
coherent interference
rsamv algorithm
weak target detection ability
samv algorithms
robust direction-of-arrival estimation
robust sparse asymptotic minimum variance
spatial resolution ability
doa estimation
sampling covariance matrix
iterative process
bering-time recording map
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0720

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https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0720

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