A Blind Direction of Arrival and Mutual Coupling Estimation Scheme for Nested Array
| Autor: | Jianfeng Li, Beizuo Zhu, Jinqing Shen, Changbo Ye |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Coupling
Scheme (programming language) Computer science 010401 analytical chemistry Direction of arrival 020206 networking & telecommunications 02 engineering and technology Nested arrays 01 natural sciences Signal 0104 chemical sciences Low complexity Coupling effect 0202 electrical engineering electronic engineering information engineering Quadratic programming Algorithm computer computer.programming_language |
| Zdroj: | SAM |
| DOI: | 10.1109/sam48682.2020.9104291 |
| Popis: | Generally, nested array (NA) is susceptible to mutual coupling due to the dense subarray, which seriously degrades the performance. To address this issue, we design an array switching-based scheme to achieve the blind direction of arrival (DOA) and mutual coupling estimation in this paper. Specifically, by exploiting the inherent sparse structural characteristics of NA, we first switch the sparse subarray on to perform initial DOA estimation, which enables to offer the well-performed estimates free from the severe mutual coupling effect. Subsequently, the unambiguous angles are determined with low complexity by utilizing the received signal of the whole NA. Furthermore, the contaminated steering vector is reconstructed and a quadratic optimization problem is established to estimate the mutual coupling coefficients. Finally, re-estimation is conducted to obtain the refined estimates. Numerical simulations demonstrate the superiority of the proposed scheme. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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