DOA Estimation of an Enhanced Generalized Nested Array with Increased Degrees of Freedom and Reduced Mutual Coupling
| Autor: | Junpeng Shi, Fangzheng Zhao, Hao Zhou, Guoping Hu, Chenghong Zhan, Yule Zhang |
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| Rok vydání: | 2021 |
| Předmět: |
Coupling
Article Subject Basis (linear algebra) Computer simulation Coprime integers Direction of arrival Degrees of freedom (mechanics) Nested arrays TK1-9971 HE9713-9715 Electrical engineering. Electronics. Nuclear engineering Electrical and Electronic Engineering Antenna (radio) Algorithm Cellular telephone services industry. Wireless telephone industry Mathematics |
| Zdroj: | International Journal of Antennas and Propagation, Vol 2021 (2021) |
| ISSN: | 1687-5877 1687-5869 |
| Popis: | Aiming at low degrees of freedom (DOF) and high mutual coupling (MC) of the existing sparse arrays, an enhanced generalized nested array (EGNA) is proposed in this paper. Specifically, the proposed array adds a single antenna on the basis of generalized nested array (GNA), and the difference of coprime factors is employed as the spacing between the second subarray and the additional antenna. Then, the values of the coprime factors are analyzed in detail, which indicates that Yang-NA can be explained as a special case. Compared with the majority of the existing sparse arrays, EGNA not only has the closed-form expressions of the physical antenna locations, consecutive lags, and unique lags, but also significantly increases DOF and reduces MC. In view of the above advantages, EGNA can obtain superior performance in direction of arrival (DOA) estimation. Numerical simulation results verify the rationality and superiority of the proposed nested array. |
| Databáze: | OpenAIRE |
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