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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Spolecnost pro radioelektronicke inzenyrstvi
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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 |
work_keys_str_mv |
AT hhou doaestimationofuncorrelatedpartlycorrelatedandcoherentsignalsusingalternatingobliqueprojection AT xmao doaestimationofuncorrelatedpartlycorrelatedandcoherentsignalsusingalternatingobliqueprojection |
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