Joint DOA and Polarization Estimation for Unequal Power Sources
For most joint direction of arrival (DOA) and polarization estimation methods, the performances of proposed methods in dealing with unequal power sources are not discussed. However, sources with unequal powers apparently exist widely in actual applications. In this study, we propose a joint DOA and...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-01-01
|
| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2015/471374 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832562623178080256 |
|---|---|
| author | Qingyuan Fang Yong Han Ming Jin Wenyi Dong |
| author_facet | Qingyuan Fang Yong Han Ming Jin Wenyi Dong |
| author_sort | Qingyuan Fang |
| collection | DOAJ |
| description | For most joint direction of arrival (DOA) and polarization estimation methods, the performances of proposed methods in dealing with unequal power sources are not discussed. However, sources with unequal powers apparently exist widely in actual applications. In this study, we propose a joint DOA and polarization estimation method for unequal power sources by utilizing the invariance property of noise subspace (IPNS) to the power of sources. This work extends the IPNS method to the dual polarized antenna array for joint DOA and polarization estimation. Moreover, we theoretically prove that the IPNS remains valid even when the sources are correlated. The computer simulations illustrate that the proposed method can effectively estimate the DOA and polarization parameters as the power difference between sources increases, as opposed to the polarimetric multiple signal classification (MUSIC) algorithm, which suffers from degradation in resolution probability. In addition, the performances of the proposed method are provided, as well the Cramer Rao Bound (CRB), which show approximate performance as the polarimetric MUSIC algorithm. |
| format | Article |
| id | doaj-art-9901a0c2a37b47cf8c0bc7f1d7c8663f |
| institution | Kabale University |
| issn | 1687-5869 1687-5877 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Antennas and Propagation |
| spelling | doaj-art-9901a0c2a37b47cf8c0bc7f1d7c8663f2025-02-03T01:22:15ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772015-01-01201510.1155/2015/471374471374Joint DOA and Polarization Estimation for Unequal Power SourcesQingyuan Fang0Yong Han1Ming Jin2Wenyi Dong3Harbin Institute of Technology, School of Electronics and Information Engineering, Harbin 150001, ChinaHarbin Institute of Technology, School of Electronics and Information Engineering, Harbin 150001, ChinaHarbin Institute of Technology, School of Electronics and Information Engineering, Harbin 150001, ChinaBeijing Huahang Radio Measurement & Research Institute, Beijing 100013, ChinaFor most joint direction of arrival (DOA) and polarization estimation methods, the performances of proposed methods in dealing with unequal power sources are not discussed. However, sources with unequal powers apparently exist widely in actual applications. In this study, we propose a joint DOA and polarization estimation method for unequal power sources by utilizing the invariance property of noise subspace (IPNS) to the power of sources. This work extends the IPNS method to the dual polarized antenna array for joint DOA and polarization estimation. Moreover, we theoretically prove that the IPNS remains valid even when the sources are correlated. The computer simulations illustrate that the proposed method can effectively estimate the DOA and polarization parameters as the power difference between sources increases, as opposed to the polarimetric multiple signal classification (MUSIC) algorithm, which suffers from degradation in resolution probability. In addition, the performances of the proposed method are provided, as well the Cramer Rao Bound (CRB), which show approximate performance as the polarimetric MUSIC algorithm.http://dx.doi.org/10.1155/2015/471374 |
| spellingShingle | Qingyuan Fang Yong Han Ming Jin Wenyi Dong Joint DOA and Polarization Estimation for Unequal Power Sources International Journal of Antennas and Propagation |
| title | Joint DOA and Polarization Estimation for Unequal Power Sources |
| title_full | Joint DOA and Polarization Estimation for Unequal Power Sources |
| title_fullStr | Joint DOA and Polarization Estimation for Unequal Power Sources |
| title_full_unstemmed | Joint DOA and Polarization Estimation for Unequal Power Sources |
| title_short | Joint DOA and Polarization Estimation for Unequal Power Sources |
| title_sort | joint doa and polarization estimation for unequal power sources |
| url | http://dx.doi.org/10.1155/2015/471374 |
| work_keys_str_mv | AT qingyuanfang jointdoaandpolarizationestimationforunequalpowersources AT yonghan jointdoaandpolarizationestimationforunequalpowersources AT mingjin jointdoaandpolarizationestimationforunequalpowersources AT wenyidong jointdoaandpolarizationestimationforunequalpowersources |