Thermos Array: Two-Dimensional Sparse Array with Reduced Mutual Coupling
Sparse planar arrays, such as the billboard array, the open box array, and the two-dimensional nested array, have drawn lots of interest owing to their ability of two-dimensional angle estimation. Unfortunately, these arrays often suffer from mutual-coupling problems due to the large number of senso...
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| Format: | Article |
| Language: | English |
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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/10.1155/2018/3624514 |
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| author | Lei Sun Minglei Yang Baixiao Chen |
| author_facet | Lei Sun Minglei Yang Baixiao Chen |
| author_sort | Lei Sun |
| collection | DOAJ |
| description | Sparse planar arrays, such as the billboard array, the open box array, and the two-dimensional nested array, have drawn lots of interest owing to their ability of two-dimensional angle estimation. Unfortunately, these arrays often suffer from mutual-coupling problems due to the large number of sensor pairs with small spacing d (usually equal to a half wavelength), which will degrade the performance of direction of arrival (DOA) estimation. Recently, the two-dimensional half-open box array and the hourglass array are proposed to reduce the mutual coupling. But both of them still have many sensor pairs with small spacing d, which implies that the reduction of mutual coupling is still limited. In this paper, we propose a new sparse planar array which has fewer number of sensor pairs with small spacing d. It is named as the thermos array because its shape seems like a thermos. Although the resulting difference coarray (DCA) of the thermos array is not hole-free, a large filled rectangular part in the DCA can be facilitated to perform spatial-smoothing-based DOA estimation. Moreover, it enjoys closed-form expressions for the sensor locations and the number of available degrees of freedom. Simulations show that the thermos array can achieve better DOA estimation performance than the hourglass array in the presence of mutual coupling, which indicates that our thermos array is more robust to the mutual-coupling array. |
| format | Article |
| id | doaj-art-29070fba426b488bb448b92dd4026b92 |
| 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-29070fba426b488bb448b92dd4026b922025-02-03T01:10:00ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772018-01-01201810.1155/2018/36245143624514Thermos Array: Two-Dimensional Sparse Array with Reduced Mutual CouplingLei Sun0Minglei Yang1Baixiao Chen2National Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, ChinaNational Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, ChinaNational Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, ChinaSparse planar arrays, such as the billboard array, the open box array, and the two-dimensional nested array, have drawn lots of interest owing to their ability of two-dimensional angle estimation. Unfortunately, these arrays often suffer from mutual-coupling problems due to the large number of sensor pairs with small spacing d (usually equal to a half wavelength), which will degrade the performance of direction of arrival (DOA) estimation. Recently, the two-dimensional half-open box array and the hourglass array are proposed to reduce the mutual coupling. But both of them still have many sensor pairs with small spacing d, which implies that the reduction of mutual coupling is still limited. In this paper, we propose a new sparse planar array which has fewer number of sensor pairs with small spacing d. It is named as the thermos array because its shape seems like a thermos. Although the resulting difference coarray (DCA) of the thermos array is not hole-free, a large filled rectangular part in the DCA can be facilitated to perform spatial-smoothing-based DOA estimation. Moreover, it enjoys closed-form expressions for the sensor locations and the number of available degrees of freedom. Simulations show that the thermos array can achieve better DOA estimation performance than the hourglass array in the presence of mutual coupling, which indicates that our thermos array is more robust to the mutual-coupling array.http://dx.doi.org/10.1155/2018/3624514 |
| spellingShingle | Lei Sun Minglei Yang Baixiao Chen Thermos Array: Two-Dimensional Sparse Array with Reduced Mutual Coupling International Journal of Antennas and Propagation |
| title | Thermos Array: Two-Dimensional Sparse Array with Reduced Mutual Coupling |
| title_full | Thermos Array: Two-Dimensional Sparse Array with Reduced Mutual Coupling |
| title_fullStr | Thermos Array: Two-Dimensional Sparse Array with Reduced Mutual Coupling |
| title_full_unstemmed | Thermos Array: Two-Dimensional Sparse Array with Reduced Mutual Coupling |
| title_short | Thermos Array: Two-Dimensional Sparse Array with Reduced Mutual Coupling |
| title_sort | thermos array two dimensional sparse array with reduced mutual coupling |
| url | http://dx.doi.org/10.1155/2018/3624514 |
| work_keys_str_mv | AT leisun thermosarraytwodimensionalsparsearraywithreducedmutualcoupling AT mingleiyang thermosarraytwodimensionalsparsearraywithreducedmutualcoupling AT baixiaochen thermosarraytwodimensionalsparsearraywithreducedmutualcoupling |