Multi-Dimensional Parameter Estimation in Polarimetric ULA with Cross-Distribution Dipole Pairs
This paper investigates the estimation of parameters—including the elevation angle, azimuth angle, polarization auxiliary angle, polarization phase difference, frequency and range of near-field sources in a Polarimetric Uniform Linear Array (P-ULA) with defective electromagnetic vector sensors. The...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-07-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/14/15/3614 |
| _version_ | 1827624674670936064 |
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| author | Tiantian Zhong Haihong Tao Lan Lan |
| author_facet | Tiantian Zhong Haihong Tao Lan Lan |
| author_sort | Tiantian Zhong |
| collection | DOAJ |
| description | This paper investigates the estimation of parameters—including the elevation angle, azimuth angle, polarization auxiliary angle, polarization phase difference, frequency and range of near-field sources in a Polarimetric Uniform Linear Array (P-ULA) with defective electromagnetic vector sensors. The cross-distribution dipole pairs are alternately placed in the xoy plane and yoz plane, respectively, and the whole array is divided into two subarrays, where subarray 1 consists of all of the dipole pairs placed in the xoy plane, while the dipole pairs placed in yoz plane are gathered in subarray 2. Specifically, the polarization auxiliary angle and the polarization phase difference, as well as the elevation and azimuth angles of the sources, are firstly estimated based on the Fourth-Order Cumulant (FOC) matrix in each subarray. Moreover, a decoupling method is developed to obtain the elevation and azimuth. Subsequently, the frequency and range are estimated based on the FOC matrix. Then, the parameter pair matching method is performed in order to match the pairs. Finally, an analysis of the Cramér-Rao Bound (CRB) is provided, and comparisons of the root mean square error with respect to the different input signal-to-noise ratios and number of snapshots, among different estimation methods, are implemented in the environment of additive white gaussian noise. The simulation results are provided in order to verify the effectiveness and feasibility of the proposed method for multi-dimensional parameter estimation. |
| first_indexed | 2024-03-09T12:14:02Z |
| format | Article |
| id | doaj.art-9a03568495234ac8866c38e947315dd8 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T12:14:02Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-9a03568495234ac8866c38e947315dd82023-11-30T22:48:31ZengMDPI AGRemote Sensing2072-42922022-07-011415361410.3390/rs14153614Multi-Dimensional Parameter Estimation in Polarimetric ULA with Cross-Distribution Dipole PairsTiantian Zhong0Haihong Tao1Lan Lan2National 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, ChinaThis paper investigates the estimation of parameters—including the elevation angle, azimuth angle, polarization auxiliary angle, polarization phase difference, frequency and range of near-field sources in a Polarimetric Uniform Linear Array (P-ULA) with defective electromagnetic vector sensors. The cross-distribution dipole pairs are alternately placed in the xoy plane and yoz plane, respectively, and the whole array is divided into two subarrays, where subarray 1 consists of all of the dipole pairs placed in the xoy plane, while the dipole pairs placed in yoz plane are gathered in subarray 2. Specifically, the polarization auxiliary angle and the polarization phase difference, as well as the elevation and azimuth angles of the sources, are firstly estimated based on the Fourth-Order Cumulant (FOC) matrix in each subarray. Moreover, a decoupling method is developed to obtain the elevation and azimuth. Subsequently, the frequency and range are estimated based on the FOC matrix. Then, the parameter pair matching method is performed in order to match the pairs. Finally, an analysis of the Cramér-Rao Bound (CRB) is provided, and comparisons of the root mean square error with respect to the different input signal-to-noise ratios and number of snapshots, among different estimation methods, are implemented in the environment of additive white gaussian noise. The simulation results are provided in order to verify the effectiveness and feasibility of the proposed method for multi-dimensional parameter estimation.https://www.mdpi.com/2072-4292/14/15/3614P-ULAcross-distribution dipole pairsFOCdecoupling methodCRB |
| spellingShingle | Tiantian Zhong Haihong Tao Lan Lan Multi-Dimensional Parameter Estimation in Polarimetric ULA with Cross-Distribution Dipole Pairs Remote Sensing P-ULA cross-distribution dipole pairs FOC decoupling method CRB |
| title | Multi-Dimensional Parameter Estimation in Polarimetric ULA with Cross-Distribution Dipole Pairs |
| title_full | Multi-Dimensional Parameter Estimation in Polarimetric ULA with Cross-Distribution Dipole Pairs |
| title_fullStr | Multi-Dimensional Parameter Estimation in Polarimetric ULA with Cross-Distribution Dipole Pairs |
| title_full_unstemmed | Multi-Dimensional Parameter Estimation in Polarimetric ULA with Cross-Distribution Dipole Pairs |
| title_short | Multi-Dimensional Parameter Estimation in Polarimetric ULA with Cross-Distribution Dipole Pairs |
| title_sort | multi dimensional parameter estimation in polarimetric ula with cross distribution dipole pairs |
| topic | P-ULA cross-distribution dipole pairs FOC decoupling method CRB |
| url | https://www.mdpi.com/2072-4292/14/15/3614 |
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