Joint DOA and DOD Estimation Based on Tensor Subspace with Partially Calibrated Bistatic MIMO Radar

A joint direction-of-departure (DOD) and direction-of-arrival (DOA) estimation algorithm based on tensor subspace approach for partially calibrated bistatic multiple-input multiple-output (MIMO) radar is proposed. By exploiting the multidimensional structure of the received data, a third-order measu...

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Main Authors: Junxiang Wang, Ping Huang, Dingjie Xu
Format: Article
Language:English
Published: Wiley 2018-01-01
Series:International Journal of Antennas and Propagation
Online Access:http://dx.doi.org/10.1155/2018/4370637
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author Junxiang Wang
Ping Huang
Dingjie Xu
author_facet Junxiang Wang
Ping Huang
Dingjie Xu
author_sort Junxiang Wang
collection DOAJ
description A joint direction-of-departure (DOD) and direction-of-arrival (DOA) estimation algorithm based on tensor subspace approach for partially calibrated bistatic multiple-input multiple-output (MIMO) radar is proposed. By exploiting the multidimensional structure of the received data, a third-order measurement tensor is constructed. Consequently, the tensor-based signal subspace is achieved using the higher-order singular value decomposition (HOSVD). To achieve accurate DOA estimation with partially calibrated array, a closed-form solution is provided to estimate the gain-phase uncertainties of the transmit and receive arrays by modeling the imperfections of the arrays. Simulation results demonstrate the effectiveness of the proposed calibration algorithm.
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institution Kabale University
issn 1687-5869
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language English
publishDate 2018-01-01
publisher Wiley
record_format Article
series International Journal of Antennas and Propagation
spelling doaj-art-aaa95eb855cb49cb89fc7ebab99029952025-02-03T06:14:09ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772018-01-01201810.1155/2018/43706374370637Joint DOA and DOD Estimation Based on Tensor Subspace with Partially Calibrated Bistatic MIMO RadarJunxiang Wang0Ping Huang1Dingjie Xu2College of Automation, Harbin Engineering University, Harbin, Heilongjiang 150001, ChinaCollege of Automation, Harbin Engineering University, Harbin, Heilongjiang 150001, ChinaCollege of Electrical Engineering and Automation, Harbin Institute of Technology University, Harbin 150001, ChinaA joint direction-of-departure (DOD) and direction-of-arrival (DOA) estimation algorithm based on tensor subspace approach for partially calibrated bistatic multiple-input multiple-output (MIMO) radar is proposed. By exploiting the multidimensional structure of the received data, a third-order measurement tensor is constructed. Consequently, the tensor-based signal subspace is achieved using the higher-order singular value decomposition (HOSVD). To achieve accurate DOA estimation with partially calibrated array, a closed-form solution is provided to estimate the gain-phase uncertainties of the transmit and receive arrays by modeling the imperfections of the arrays. Simulation results demonstrate the effectiveness of the proposed calibration algorithm.http://dx.doi.org/10.1155/2018/4370637
spellingShingle Junxiang Wang
Ping Huang
Dingjie Xu
Joint DOA and DOD Estimation Based on Tensor Subspace with Partially Calibrated Bistatic MIMO Radar
International Journal of Antennas and Propagation
title Joint DOA and DOD Estimation Based on Tensor Subspace with Partially Calibrated Bistatic MIMO Radar
title_full Joint DOA and DOD Estimation Based on Tensor Subspace with Partially Calibrated Bistatic MIMO Radar
title_fullStr Joint DOA and DOD Estimation Based on Tensor Subspace with Partially Calibrated Bistatic MIMO Radar
title_full_unstemmed Joint DOA and DOD Estimation Based on Tensor Subspace with Partially Calibrated Bistatic MIMO Radar
title_short Joint DOA and DOD Estimation Based on Tensor Subspace with Partially Calibrated Bistatic MIMO Radar
title_sort joint doa and dod estimation based on tensor subspace with partially calibrated bistatic mimo radar
url http://dx.doi.org/10.1155/2018/4370637
work_keys_str_mv AT junxiangwang jointdoaanddodestimationbasedontensorsubspacewithpartiallycalibratedbistaticmimoradar
AT pinghuang jointdoaanddodestimationbasedontensorsubspacewithpartiallycalibratedbistaticmimoradar
AT dingjiexu jointdoaanddodestimationbasedontensorsubspacewithpartiallycalibratedbistaticmimoradar