四元数域对合增广宽线性自适应波束形成
发布时间：2018-11-20 18:27
【摘要】：该文提出一种基于4元数的宽线性自适应波束形成方法,该方法在利用4元数构建单个阵元输出的基础上,通过充分挖掘4元数的3种对合信息,联合信号的非圆特性,建立4元数域对合增广信号模型,进而实现4元数域宽线性自适应波束形成。同传统4元数波束形成技术相比,该方法对非圆信号的接收性能显著提升,同时可以实现阵列虚拟孔径扩展,增大自适应波束形成干扰抑制自由度。仿真实验验证了所提波束形成方法的性能。
[Abstract]:In this paper, a wide linear adaptive beamforming method based on 4 elements is proposed. On the basis of constructing the output of single array element by using 4 element number, the noncircular characteristic of joint signal is obtained by fully mining three involutive information of 4 element number. A 4-element numerical domain involutive and augmented signal model is established, and then the 4-ary number domain wide linear adaptive beamforming is realized. Compared with the traditional four-element beamforming technique, the performance of the proposed method for non-circular signals is improved significantly, and the array virtual aperture expansion can be realized, and the degree of freedom of interference suppression by adaptive beamforming can be increased. The performance of the proposed beamforming method is verified by simulation experiments.
【作者单位】： 北京理工大学信息与电子学院;
【基金】：国家自然科学基金(61490691,61331019)~~
【分类号】：TN911.7
[Abstract]:In this paper, a wide linear adaptive beamforming method based on 4 elements is proposed. On the basis of constructing the output of single array element by using 4 element number, the noncircular characteristic of joint signal is obtained by fully mining three involutive information of 4 element number. A 4-element numerical domain involutive and augmented signal model is established, and then the 4-ary number domain wide linear adaptive beamforming is realized. Compared with the traditional four-element beamforming technique, the performance of the proposed method for non-circular signals is improved significantly, and the array virtual aperture expansion can be realized, and the degree of freedom of interference suppression by adaptive beamforming can be increased. The performance of the proposed beamforming method is verified by simulation experiments.
【作者单位】： 北京理工大学信息与电子学院;
【基金】：国家自然科学基金(61490691,61331019)~~
【分类号】：TN911.7
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