Enhanced off-grid DOA estimation by corrected power Bayesian inference using difference coarray

Sparse Bayesian inference for on-grid direction-of-arrival (DOA) estimation using difference coarray was investigated in the authors’ previous work to estimate more signal sources than the number of physical antenna elements. Sparse Bayesian inference is derived based on a linear inverse model and t...

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Main Authors: Yanan Ma, Xianbin Cao, Xiangrong Wang
Format: Article
Language:English
Published: Wiley 2019-10-01
Series:The Journal of Engineering
Subjects:
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0806
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author Yanan Ma
Xianbin Cao
Xiangrong Wang
author_facet Yanan Ma
Xianbin Cao
Xiangrong Wang
author_sort Yanan Ma
collection DOAJ
description Sparse Bayesian inference for on-grid direction-of-arrival (DOA) estimation using difference coarray was investigated in the authors’ previous work to estimate more signal sources than the number of physical antenna elements. Sparse Bayesian inference is derived based on a linear inverse model and the DOAs of incident signals are indicated by the sparse support of the power spectrum for a predefined dictionary. Thus, the DOA estimation accuracy of Bayesian inference is limited by the accuracy of power estimation. An enhanced off-grid DOA estimation algorithm by combining coarray Bayesian inference with power correction is proposed in this study. Simulation results show that the additional step of corrected power increases the DOA estimation accuracy significantly.
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spelling doaj.art-28f526d6856c41a3b69565486c21fca22022-12-21T18:58:12ZengWileyThe Journal of Engineering2051-33052019-10-0110.1049/joe.2019.0806JOE.2019.0806Enhanced off-grid DOA estimation by corrected power Bayesian inference using difference coarrayYanan Ma0Xianbin Cao1Xiangrong Wang2Beihang UniversityBeihang UniversityBeihang UniversitySparse Bayesian inference for on-grid direction-of-arrival (DOA) estimation using difference coarray was investigated in the authors’ previous work to estimate more signal sources than the number of physical antenna elements. Sparse Bayesian inference is derived based on a linear inverse model and the DOAs of incident signals are indicated by the sparse support of the power spectrum for a predefined dictionary. Thus, the DOA estimation accuracy of Bayesian inference is limited by the accuracy of power estimation. An enhanced off-grid DOA estimation algorithm by combining coarray Bayesian inference with power correction is proposed in this study. Simulation results show that the additional step of corrected power increases the DOA estimation accuracy significantly.https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0806direction-of-arrival estimationbayes methodspower spectrumdoa estimation accuracypower estimationoff-grid doa estimation algorithmcoarray bayesian inferencepower correctioncorrected power bayesian inferencedifference coarraysparse bayesian inferenceon-grid direction-of-arrival estimationsignal sourceslinear inverse modelincident signals
spellingShingle Yanan Ma
Xianbin Cao
Xiangrong Wang
Enhanced off-grid DOA estimation by corrected power Bayesian inference using difference coarray
The Journal of Engineering
direction-of-arrival estimation
bayes methods
power spectrum
doa estimation accuracy
power estimation
off-grid doa estimation algorithm
coarray bayesian inference
power correction
corrected power bayesian inference
difference coarray
sparse bayesian inference
on-grid direction-of-arrival estimation
signal sources
linear inverse model
incident signals
title Enhanced off-grid DOA estimation by corrected power Bayesian inference using difference coarray
title_full Enhanced off-grid DOA estimation by corrected power Bayesian inference using difference coarray
title_fullStr Enhanced off-grid DOA estimation by corrected power Bayesian inference using difference coarray
title_full_unstemmed Enhanced off-grid DOA estimation by corrected power Bayesian inference using difference coarray
title_short Enhanced off-grid DOA estimation by corrected power Bayesian inference using difference coarray
title_sort enhanced off grid doa estimation by corrected power bayesian inference using difference coarray
topic direction-of-arrival estimation
bayes methods
power spectrum
doa estimation accuracy
power estimation
off-grid doa estimation algorithm
coarray bayesian inference
power correction
corrected power bayesian inference
difference coarray
sparse bayesian inference
on-grid direction-of-arrival estimation
signal sources
linear inverse model
incident signals
url https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0806
work_keys_str_mv AT yananma enhancedoffgriddoaestimationbycorrectedpowerbayesianinferenceusingdifferencecoarray
AT xianbincao enhancedoffgriddoaestimationbycorrectedpowerbayesianinferenceusingdifferencecoarray
AT xiangrongwang enhancedoffgriddoaestimationbycorrectedpowerbayesianinferenceusingdifferencecoarray