Fast Tensor-Based Joint Estimation for Time Delay and Angle of Arrival in OFDM System
Nowadays, the joint estimation of time delay (TD) and angle of arrival (AOA) using conventional vector structure suffers from the considerable complexity of multidimensional spectrum search. Therefore, a fast estimation method using orthogonal frequency division multiplexing (OFDM) technology and un...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2022/6856050 |
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| _version_ | 1832567728748101632 |
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| author | Jinzhi Du Weijia Cui Bin Ba Chunxiao Jian Haiyun Xu |
| author_facet | Jinzhi Du Weijia Cui Bin Ba Chunxiao Jian Haiyun Xu |
| author_sort | Jinzhi Du |
| collection | DOAJ |
| description | Nowadays, the joint estimation of time delay (TD) and angle of arrival (AOA) using conventional vector structure suffers from the considerable complexity of multidimensional spectrum search. Therefore, a fast estimation method using orthogonal frequency division multiplexing (OFDM) technology and uniform planar array (UPA) is proposed in this paper, which adopts low-complexity tensor-based operations and spatial-frequency features to reconfigure the channel frequency response. To begin with, the array response is integrated with the OFDM signal characteristics to build an extended array in tensor form. Afterwards, we process the covariance matrix of the tensor structure by CANDECOMP/PARAFAC decomposition (CPD) to separate the respective signal subspaces of TD and AOA estimates. Finally, we conduct a one-dimensional (1-D) spectrum search to locate the TD estimates and a two-dimensional (2-D) spectrum search to locate the AOA estimates. The simulated performance demonstrates that the proposed algorithm offers precise estimates at low signal-to-noise ratios in a multipath environment and outperforms traditional vector-based algorithms with respect to computational complexity. |
| format | Article |
| id | doaj-art-60e1a257d7344bcf9ee76d20b209efa4 |
| institution | Kabale University |
| issn | 1687-5877 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Antennas and Propagation |
| spelling | doaj-art-60e1a257d7344bcf9ee76d20b209efa42025-02-03T01:00:44ZengWileyInternational Journal of Antennas and Propagation1687-58772022-01-01202210.1155/2022/6856050Fast Tensor-Based Joint Estimation for Time Delay and Angle of Arrival in OFDM SystemJinzhi Du0Weijia Cui1Bin Ba2Chunxiao Jian3Haiyun Xu4National Digital Switching System Engineering & Technological Research CenterNational Digital Switching System Engineering & Technological Research CenterNational Digital Switching System Engineering & Technological Research CenterNational Digital Switching System Engineering & Technological Research CenterNational Digital Switching System Engineering & Technological Research CenterNowadays, the joint estimation of time delay (TD) and angle of arrival (AOA) using conventional vector structure suffers from the considerable complexity of multidimensional spectrum search. Therefore, a fast estimation method using orthogonal frequency division multiplexing (OFDM) technology and uniform planar array (UPA) is proposed in this paper, which adopts low-complexity tensor-based operations and spatial-frequency features to reconfigure the channel frequency response. To begin with, the array response is integrated with the OFDM signal characteristics to build an extended array in tensor form. Afterwards, we process the covariance matrix of the tensor structure by CANDECOMP/PARAFAC decomposition (CPD) to separate the respective signal subspaces of TD and AOA estimates. Finally, we conduct a one-dimensional (1-D) spectrum search to locate the TD estimates and a two-dimensional (2-D) spectrum search to locate the AOA estimates. The simulated performance demonstrates that the proposed algorithm offers precise estimates at low signal-to-noise ratios in a multipath environment and outperforms traditional vector-based algorithms with respect to computational complexity.http://dx.doi.org/10.1155/2022/6856050 |
| spellingShingle | Jinzhi Du Weijia Cui Bin Ba Chunxiao Jian Haiyun Xu Fast Tensor-Based Joint Estimation for Time Delay and Angle of Arrival in OFDM System International Journal of Antennas and Propagation |
| title | Fast Tensor-Based Joint Estimation for Time Delay and Angle of Arrival in OFDM System |
| title_full | Fast Tensor-Based Joint Estimation for Time Delay and Angle of Arrival in OFDM System |
| title_fullStr | Fast Tensor-Based Joint Estimation for Time Delay and Angle of Arrival in OFDM System |
| title_full_unstemmed | Fast Tensor-Based Joint Estimation for Time Delay and Angle of Arrival in OFDM System |
| title_short | Fast Tensor-Based Joint Estimation for Time Delay and Angle of Arrival in OFDM System |
| title_sort | fast tensor based joint estimation for time delay and angle of arrival in ofdm system |
| url | http://dx.doi.org/10.1155/2022/6856050 |
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