DOA Estimation of Uncorrelated, Partly Correlated and Coherent Signals Using Alternating Oblique Projection

The problem of direction-of-arrival (DOA) estimation is important in array signal processing. To estimate the DOAs of uncorrelated, partly correlated and coherent signals, a new iterative DOA estimation algorithm, named AOP-DOA, is proposed by using alternating oblique projection (AOP). In each iter...

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Main Authors: H. Hou, X. Mao
Format: Article
Language:English
Published: Spolecnost pro radioelektronicke inzenyrstvi 2017-06-01
Series:Radioengineering
Subjects:
Online Access:https://www.radioeng.cz/fulltexts/2017/17_02_0588_0600.pdf
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spelling doaj-38a2ac70d667422dbb39699eaf4a095b2020-11-24T21:57:30ZengSpolecnost pro radioelektronicke inzenyrstviRadioengineering1210-25122017-06-01262588600DOA Estimation of Uncorrelated, Partly Correlated and Coherent Signals Using Alternating Oblique ProjectionH. HouX. MaoThe problem of direction-of-arrival (DOA) estimation is important in array signal processing. To estimate the DOAs of uncorrelated, partly correlated and coherent signals, a new iterative DOA estimation algorithm, named AOP-DOA, is proposed by using alternating oblique projection (AOP). In each iteration, the oblique projection approach is employed to separate the received signals, then the DOA of each separated signal is estimated one after another. After theoretical analysis on the relationship between the proposed AOP-DOA and the conventional alternating projection based maximum likelihood estimator (AP-MLE), an AOP&AP-DOA algorithm, which is a combination of AOP-DOA and AP-MLE, is developed to reduce the computational complexity of AOP-DOA. Extensive experiments validate the effectiveness and complexity of the proposed two algorithms. Particularly, AOP&AP-DOA keeps the merits of AOP-DOA, but exhibits superiority over AOP-DOA in terms of computational complexity when proper adaptive grid refinement strategy is applied.https://www.radioeng.cz/fulltexts/2017/17_02_0588_0600.pdfOblique projectiondirection-of-arrival (DOA) estimationmaximum likelihood (ML)coherent signal
collection DOAJ
language English
format Article
sources DOAJ
author H. Hou
X. Mao
spellingShingle H. Hou
X. Mao
DOA Estimation of Uncorrelated, Partly Correlated and Coherent Signals Using Alternating Oblique Projection
Radioengineering
Oblique projection
direction-of-arrival (DOA) estimation
maximum likelihood (ML)
coherent signal
author_facet H. Hou
X. Mao
author_sort H. Hou
title DOA Estimation of Uncorrelated, Partly Correlated and Coherent Signals Using Alternating Oblique Projection
title_short DOA Estimation of Uncorrelated, Partly Correlated and Coherent Signals Using Alternating Oblique Projection
title_full DOA Estimation of Uncorrelated, Partly Correlated and Coherent Signals Using Alternating Oblique Projection
title_fullStr DOA Estimation of Uncorrelated, Partly Correlated and Coherent Signals Using Alternating Oblique Projection
title_full_unstemmed DOA Estimation of Uncorrelated, Partly Correlated and Coherent Signals Using Alternating Oblique Projection
title_sort doa estimation of uncorrelated, partly correlated and coherent signals using alternating oblique projection
publisher Spolecnost pro radioelektronicke inzenyrstvi
series Radioengineering
issn 1210-2512
publishDate 2017-06-01
description The problem of direction-of-arrival (DOA) estimation is important in array signal processing. To estimate the DOAs of uncorrelated, partly correlated and coherent signals, a new iterative DOA estimation algorithm, named AOP-DOA, is proposed by using alternating oblique projection (AOP). In each iteration, the oblique projection approach is employed to separate the received signals, then the DOA of each separated signal is estimated one after another. After theoretical analysis on the relationship between the proposed AOP-DOA and the conventional alternating projection based maximum likelihood estimator (AP-MLE), an AOP&AP-DOA algorithm, which is a combination of AOP-DOA and AP-MLE, is developed to reduce the computational complexity of AOP-DOA. Extensive experiments validate the effectiveness and complexity of the proposed two algorithms. Particularly, AOP&AP-DOA keeps the merits of AOP-DOA, but exhibits superiority over AOP-DOA in terms of computational complexity when proper adaptive grid refinement strategy is applied.
topic Oblique projection
direction-of-arrival (DOA) estimation
maximum likelihood (ML)
coherent signal
url https://www.radioeng.cz/fulltexts/2017/17_02_0588_0600.pdf
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