Search-Free Angle, Range, and Velocity Estimation for Monostatic FDA-MIMO
The monostatic frequency diverse array multiple-input multiple-output (FDA-MIMO) has attracted much attention recently. However, much research is concentrated on the estimation of angle-range parameters based on the FDA-MIMO radar, and the velocity has not been considered. In this study, we propose...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2022-01-01
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| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2022/8363100 |
| _version_ | 1798032842781884416 |
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| author | Zihang Ding Junwei Xie Jiaang Ge |
| author_facet | Zihang Ding Junwei Xie Jiaang Ge |
| author_sort | Zihang Ding |
| collection | DOAJ |
| description | The monostatic frequency diverse array multiple-input multiple-output (FDA-MIMO) has attracted much attention recently. However, much research is concentrated on the estimation of angle-range parameters based on the FDA-MIMO radar, and the velocity has not been considered. In this study, we propose a search-free method to estimate these parameters. To overcome the problem of the high computational complexity associated with the searching estimation algorithms, the parallel factor (PARAFAC) decomposition is introduced to estimate the space-time steering vector. Next, we can utilize the least square method to solve the angle, range, and velocity of each target. In addition, the Cramér–Rao bounds (CRBs) of angle, range, and velocity are derived. Besides, the other performance analysis consists of the root mean square error, and complexity is derived. We compare the PARAFAC decomposition algorithm with the estimation of signal parameters via the rotational invariance techniques (ESPRIT) algorithm, and our method owns a superior performance. Finally, the proposed method is verified by simulations and has the ability to achieve greater estimation accuracy than existing algorithms. |
| first_indexed | 2024-04-11T20:20:15Z |
| format | Article |
| id | doaj.art-862a9c64f0434fb38915244db8613ee3 |
| institution | Directory Open Access Journal |
| issn | 1687-5877 |
| language | English |
| last_indexed | 2024-04-11T20:20:15Z |
| publishDate | 2022-01-01 |
| publisher | Hindawi Limited |
| record_format | Article |
| series | International Journal of Antennas and Propagation |
| spelling | doaj.art-862a9c64f0434fb38915244db8613ee32022-12-22T04:04:50ZengHindawi LimitedInternational Journal of Antennas and Propagation1687-58772022-01-01202210.1155/2022/8363100Search-Free Angle, Range, and Velocity Estimation for Monostatic FDA-MIMOZihang Ding0Junwei Xie1Jiaang Ge2Air and Missile Defense CollegeAir and Missile Defense CollegeAir and Missile Defense CollegeThe monostatic frequency diverse array multiple-input multiple-output (FDA-MIMO) has attracted much attention recently. However, much research is concentrated on the estimation of angle-range parameters based on the FDA-MIMO radar, and the velocity has not been considered. In this study, we propose a search-free method to estimate these parameters. To overcome the problem of the high computational complexity associated with the searching estimation algorithms, the parallel factor (PARAFAC) decomposition is introduced to estimate the space-time steering vector. Next, we can utilize the least square method to solve the angle, range, and velocity of each target. In addition, the Cramér–Rao bounds (CRBs) of angle, range, and velocity are derived. Besides, the other performance analysis consists of the root mean square error, and complexity is derived. We compare the PARAFAC decomposition algorithm with the estimation of signal parameters via the rotational invariance techniques (ESPRIT) algorithm, and our method owns a superior performance. Finally, the proposed method is verified by simulations and has the ability to achieve greater estimation accuracy than existing algorithms.http://dx.doi.org/10.1155/2022/8363100 |
| spellingShingle | Zihang Ding Junwei Xie Jiaang Ge Search-Free Angle, Range, and Velocity Estimation for Monostatic FDA-MIMO International Journal of Antennas and Propagation |
| title | Search-Free Angle, Range, and Velocity Estimation for Monostatic FDA-MIMO |
| title_full | Search-Free Angle, Range, and Velocity Estimation for Monostatic FDA-MIMO |
| title_fullStr | Search-Free Angle, Range, and Velocity Estimation for Monostatic FDA-MIMO |
| title_full_unstemmed | Search-Free Angle, Range, and Velocity Estimation for Monostatic FDA-MIMO |
| title_short | Search-Free Angle, Range, and Velocity Estimation for Monostatic FDA-MIMO |
| title_sort | search free angle range and velocity estimation for monostatic fda mimo |
| url | http://dx.doi.org/10.1155/2022/8363100 |
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