Sparsity-aware target localization using TDOA/AOA measurements in distributed MIMO radars

In this paper, a sparsity-aware hybrid target localization method in multiple-input-multiple-output (MIMO) radars from time difference of arrival (TDOA) and angle of arrival (AOA) measurements is proposed. This method provides a maximum likelihood estimate of target position by employing compressive...

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Main Authors: Rouhollah Amiri, Hojatollah Zamani, Fereidoon Behnia, Farokh Marvasti
Format: Article
Language:English
Published: Elsevier 2016-03-01
Series:ICT Express
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405959515300904
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author Rouhollah Amiri
Hojatollah Zamani
Fereidoon Behnia
Farokh Marvasti
author_facet Rouhollah Amiri
Hojatollah Zamani
Fereidoon Behnia
Farokh Marvasti
author_sort Rouhollah Amiri
collection DOAJ
description In this paper, a sparsity-aware hybrid target localization method in multiple-input-multiple-output (MIMO) radars from time difference of arrival (TDOA) and angle of arrival (AOA) measurements is proposed. This method provides a maximum likelihood estimate of target position by employing compressive sensing techniques. A blockwise approach is addressed in order to achieve better accuracy for a constant computational complexity. The mismatch problem due to grid discretization is also tackled by a dictionary learning technique. The Cramer–Rao lower bound for this model is derived as a benchmark. Numerical simulations are included to corroborate the theoretical developments.
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spelling doaj.art-960000570fef4601bbf08b1107e474432022-12-21T22:04:17ZengElsevierICT Express2405-95952016-03-0121232710.1016/j.icte.2016.02.002Sparsity-aware target localization using TDOA/AOA measurements in distributed MIMO radarsRouhollah AmiriHojatollah ZamaniFereidoon BehniaFarokh MarvastiIn this paper, a sparsity-aware hybrid target localization method in multiple-input-multiple-output (MIMO) radars from time difference of arrival (TDOA) and angle of arrival (AOA) measurements is proposed. This method provides a maximum likelihood estimate of target position by employing compressive sensing techniques. A blockwise approach is addressed in order to achieve better accuracy for a constant computational complexity. The mismatch problem due to grid discretization is also tackled by a dictionary learning technique. The Cramer–Rao lower bound for this model is derived as a benchmark. Numerical simulations are included to corroborate the theoretical developments.http://www.sciencedirect.com/science/article/pii/S2405959515300904Multiple-input-multiple-output (MIMO) radarTarget localizationCompressed sensing (CS)Time difference of arrival (TDOA)Angle of arrival (AOA)
spellingShingle Rouhollah Amiri
Hojatollah Zamani
Fereidoon Behnia
Farokh Marvasti
Sparsity-aware target localization using TDOA/AOA measurements in distributed MIMO radars
ICT Express
Multiple-input-multiple-output (MIMO) radar
Target localization
Compressed sensing (CS)
Time difference of arrival (TDOA)
Angle of arrival (AOA)
title Sparsity-aware target localization using TDOA/AOA measurements in distributed MIMO radars
title_full Sparsity-aware target localization using TDOA/AOA measurements in distributed MIMO radars
title_fullStr Sparsity-aware target localization using TDOA/AOA measurements in distributed MIMO radars
title_full_unstemmed Sparsity-aware target localization using TDOA/AOA measurements in distributed MIMO radars
title_short Sparsity-aware target localization using TDOA/AOA measurements in distributed MIMO radars
title_sort sparsity aware target localization using tdoa aoa measurements in distributed mimo radars
topic Multiple-input-multiple-output (MIMO) radar
Target localization
Compressed sensing (CS)
Time difference of arrival (TDOA)
Angle of arrival (AOA)
url http://www.sciencedirect.com/science/article/pii/S2405959515300904
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AT fereidoonbehnia sparsityawaretargetlocalizationusingtdoaaoameasurementsindistributedmimoradars
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