Multidimensional Parameter Estimation Method Based on Sparse Iteration in FDA-MIMO Radar
To accurately identify the range of each target, traditional Multiple-Input Multiple-Output (MIMO) radar techniques not only require designing a shift matrix to describe different range bins but also a large number of snapshots. To alleviate this problem, a multidimensional parameter estimation meth...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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China Science Publishing & Media Ltd. (CSPM)
2018-04-01
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| Series: | Leida xuebao |
| Subjects: | |
| Online Access: | http://radars.ie.ac.cn/fileup/HTML/R16121.htm |
| _version_ | 1797426505332031488 |
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| author | Gong Pengcheng Liu Gang Huang He Wang Wenqin |
| author_facet | Gong Pengcheng Liu Gang Huang He Wang Wenqin |
| author_sort | Gong Pengcheng |
| collection | DOAJ |
| description | To accurately identify the range of each target, traditional Multiple-Input Multiple-Output (MIMO) radar techniques not only require designing a shift matrix to describe different range bins but also a large number of snapshots. To alleviate this problem, a multidimensional parameter estimation method based on sparse iteration is proposed for a MIMO radar with Frequency Diverse Array (FDA). The FDA-MIMO radar uses small frequency increments across the array elements, and its transmit steering vector is a function of both range and angle. On the basis of the feature of the FDA-MIMO radar, we consider a weighted lq (0<q ≤1) minimization problem that is solved using a sparse iterative algorithm. Finally, the target parameters (the amplitude, range, and angle) are obtained using a single snapshot. Moreover, numerical simulations are used to demonstrate the superior performance of the proposed method compared with those of DAS, IAA, and IAA-R. |
| first_indexed | 2024-03-09T08:31:09Z |
| format | Article |
| id | doaj.art-df5ad374dbd94d1484727c7bbf61d9c1 |
| institution | Directory Open Access Journal |
| issn | 2095-283X 2095-283X |
| language | English |
| last_indexed | 2024-03-09T08:31:09Z |
| publishDate | 2018-04-01 |
| publisher | China Science Publishing & Media Ltd. (CSPM) |
| record_format | Article |
| series | Leida xuebao |
| spelling | doaj.art-df5ad374dbd94d1484727c7bbf61d9c12023-12-02T19:56:29ZengChina Science Publishing & Media Ltd. (CSPM)Leida xuebao2095-283X2095-283X2018-04-017219420110.12000/JR16121Multidimensional Parameter Estimation Method Based on Sparse Iteration in FDA-MIMO RadarGong Pengcheng0Liu Gang1Huang He2Wang Wenqin3①(School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan 430068, China)③(School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China)②(CETC Key Laboratory of Electromagnetic Domain Operation, No.29 Research Institute of CETC, Chengdu 610036, China)②(CETC Key Laboratory of Electromagnetic Domain Operation, No.29 Research Institute of CETC, Chengdu 610036, China)③(School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China)To accurately identify the range of each target, traditional Multiple-Input Multiple-Output (MIMO) radar techniques not only require designing a shift matrix to describe different range bins but also a large number of snapshots. To alleviate this problem, a multidimensional parameter estimation method based on sparse iteration is proposed for a MIMO radar with Frequency Diverse Array (FDA). The FDA-MIMO radar uses small frequency increments across the array elements, and its transmit steering vector is a function of both range and angle. On the basis of the feature of the FDA-MIMO radar, we consider a weighted lq (0<q ≤1) minimization problem that is solved using a sparse iterative algorithm. Finally, the target parameters (the amplitude, range, and angle) are obtained using a single snapshot. Moreover, numerical simulations are used to demonstrate the superior performance of the proposed method compared with those of DAS, IAA, and IAA-R.http://radars.ie.ac.cn/fileup/HTML/R16121.htmMultiple-Input Multiple-Output (MIMO) radarFrequency Diverse Array (FDA)Range estimationParameter estimationNew radar scheme |
| spellingShingle | Gong Pengcheng Liu Gang Huang He Wang Wenqin Multidimensional Parameter Estimation Method Based on Sparse Iteration in FDA-MIMO Radar Leida xuebao Multiple-Input Multiple-Output (MIMO) radar Frequency Diverse Array (FDA) Range estimation Parameter estimation New radar scheme |
| title | Multidimensional Parameter Estimation Method Based on Sparse Iteration in FDA-MIMO Radar |
| title_full | Multidimensional Parameter Estimation Method Based on Sparse Iteration in FDA-MIMO Radar |
| title_fullStr | Multidimensional Parameter Estimation Method Based on Sparse Iteration in FDA-MIMO Radar |
| title_full_unstemmed | Multidimensional Parameter Estimation Method Based on Sparse Iteration in FDA-MIMO Radar |
| title_short | Multidimensional Parameter Estimation Method Based on Sparse Iteration in FDA-MIMO Radar |
| title_sort | multidimensional parameter estimation method based on sparse iteration in fda mimo radar |
| topic | Multiple-Input Multiple-Output (MIMO) radar Frequency Diverse Array (FDA) Range estimation Parameter estimation New radar scheme |
| url | http://radars.ie.ac.cn/fileup/HTML/R16121.htm |
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