基于流形优化的纯相位零波束形成合成

Yang Cong, Jinfeng Hu, Kai Zhong, Jie Wu
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引用次数: 0

摘要

纯相位波束形成合成在毫米波通信、雷达和声纳等领域有着广泛的应用。由于CMC的存在,这个问题是非凸的。目前大多数方法都是通过设计相位来解决问题,这要么降低了性能,要么需要巨大的复杂性。针对这一问题,提出了一种基于共轭梯度的低复杂度黎曼流形优化方法。首先,将原问题转化为复圆流形上的无约束问题。然后,推导出保证代价函数不增加的梯度下降方向和步长,推导出rmocog算法。与现有方法相比,本文提出的方法具有以下优点:1)比[6]深8 dB,比[12]深3 dB。2)计算成本比[6]低2个数量级,比[12]低1个数量级。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The phase-only null beamforming synthesis via manifold optimization
The phase-only beamforming synthesis is widely applied in millimeter wave communication, radar and sonar. Due to the CMC, the problem is non-convex. The most current methods solve the problem by designing the phase, which either degrades the performance or needs huge complexity. To address this issue, a low-complexity Riemannian Manifold Optimization based Conjugate Gradient (RMOCG) method is proposed. First, the original problem is transformed into an unconstrained prob-lem on a complex circle manifold. Then, a RMOCG algorithm is derived, by deriving the gradient descent direction and the step size for ensuring the cost function non-increasing. Comparing with the existing methods, the proposed method has the following advantages: 1) the null depth is respectively 8 dB deeper than [6] and 3 dB deeper than [12]. 2) The computational cost is 2 magnitude lower than [6] and 1 magnitude lower than [12].
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