控制理论(社会学)
梯度下降
干扰(通信)
噪音(视频)
协方差矩阵
卡鲁什-库恩-塔克条件
数学
自适应波束形成器
功率(物理)
极小极大
信噪比
算法
数学优化
计算机科学
波束赋形
控制(管理)
电信
统计
人工神经网络
人工智能
频道(广播)
物理
量子力学
图像(数学)
作者
Zhubin Shen,Jianfeng Li,Qihui Wu
标识
DOI:10.1016/j.sigpro.2022.108906
摘要
In this paper, we present a fast adaptive beamformer with sidelobe control (FABSC). FABSC minimizes the sidelobe level (SLL) while maintaining the distortionless response in the desired direction and restricting the interference-plus-noise output power, where the interference-plus-noise output power is estimated based on the reconstructed interference-plus-noise covariance matrix (RCM). A convex-concave minimax problem is considered, which is always feasible and addressed by the algorithm named gradient descent ascent (GDA). Furthermore, based on the Karush-Kuhn-Tucker (KKT) conditions, projection onto the constraint set in FABSC has an analytic expression. Numerical examples are provided to demonstrate the superior performance of FABSC in terms of beampattern control capability, output signal-to-interference-plus-noise ratio (SINR), and computational time.
科研通智能强力驱动
Strongly Powered by AbleSci AI