| Autor: |
Libing Huang, Siqi Li, Zhulin Zong, Yun Feng |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
IGARSS |
| DOI: |
10.1109/igarss47720.2021.9554109 |
| Popis: |
Frequency diverse array (FDA) radar can form range-angle dependent beampattern, which has good anti-jamming ability. When the direction of the interference fluctuates and the desired signal steering vector mismatches, the traditional null broadening algorithm based on phased array (PA) radar can only widen the null in the angle dimension. A null optimization method with adaptive beamforming for FDA is proposed in this paper. The method is based on a uniform linear array and can form a range-angle two-dimensional adaptive beam. The main lobe of the beam is aimed at the target and the null is aimed at the interference. Then the covariance matrix taper (CMT) algorithm is used to broaden and deepen the null at the position of the interference. Experimental results illuminate the feasibility and effectiveness of the proposed method. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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