3-D Localization for Near-Field and Strictly Noncircular Sources via Centro-Symmetric Cross Array
| Autor: | Jinqing Shen, Xiaofei Zhang, Zheng Li, Hui Zhai |
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| Rok vydání: | 2021 |
| Předmět: |
Basis (linear algebra)
Computer science business.industry 010401 analytical chemistry Direction of arrival Near and far field 01 natural sciences Signal 0104 chemical sciences Set (abstract data type) Range (mathematics) Wireless Electrical and Electronic Engineering business Instrumentation Algorithm |
| Zdroj: | IEEE Sensors Journal. 21:8432-8440 |
| ISSN: | 2379-9153 1530-437X |
| DOI: | 10.1109/jsen.2020.3048713 |
| Popis: | In this article, we consider the problem of three-dimensional localization for near-field and strictly noncircular sources via centro-symmetric cross array (CSCA). To obtain satisfactory localization results including range and direction of arrival estimations without multi-dimensional spectral search, two connection-matrices are constructed to set up the relation between the information originating from the two branches of CSCA and utilize rank-reduction technique to perform localization, which helps to fully exploits not only the received signal and its conjugation part, but also the whole information including self- and cross-information, and meanwhile only requires to perform one-dimensional spectral search several times. Finally, we perform the angle pairing on the basis of the third connection-matrix. The proposed algorithm is able to obtain more accurate estimation and better range resolution than the localization utilizing only self-information due to the utilization of the whole received information. Simulation results verify the validity and superiority of the proposed algorithm. |
| Databáze: | OpenAIRE |
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