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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Wiley
2018-01-01
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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. |
format | Article |
id | doaj-art-aaa95eb855cb49cb89fc7ebab9902995 |
institution | Kabale University |
issn | 1687-5869 1687-5877 |
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 |