摘要翻译：
本文研究了如何最优、精确地控制阵列响应电平的问题。利用自适应阵列理论中最优权向量的概念，通过逐个添加虚拟干扰，找到了最优权向量的变化规律，从而设计了一种新的权向量更新公式。然后，研究了如何精确控制单向响应水平的问题。更具体地说，我们将虚拟干扰分配给一个方向，以便能够精确地控制响应水平。此外，干扰噪声比(INR)等参数可以根据所需的电平计算出来。此外，还进行了参数优化，以获得最大阵列增益。本文将该方案称为最优精确阵列响应控制(OPARC)。为了更好地理解它，给出了它的性质，并与现有的精确数组响应控制(${\textrm A}^2\textrm{RC}$)算法进行了比较。最后给出了仿真结果，验证了该算法的有效性和优越性。
---
英文标题：
《OPARC: Optimal and Precise Array Response Control Algorithm -- Part I:
  Fundamentals》
---
作者：
Xuejing Zhang, Zishu He, Xiang-Gen Xia, Bin Liao, Xuepan Zhang, Yue
  Yang
---
最新提交年份：
2017
---
分类信息：

一级分类：Electrical Engineering and Systems Science        电气工程与系统科学
二级分类：Signal Processing        信号处理
分类描述：Theory, algorithms, performance analysis and applications of signal and data analysis, including physical modeling, processing, detection and parameter estimation, learning, mining, retrieval, and information extraction. The term "signal" includes speech, audio, sonar, radar, geophysical, physiological, (bio-) medical, image, video, and multimodal natural and man-made signals, including communication signals and data. Topics of interest include: statistical signal processing, spectral estimation and system identification; filter design, adaptive filtering / stochastic learning; (compressive) sampling, sensing, and transform-domain methods including fast algorithms; signal processing for machine learning and machine learning for signal processing applications; in-network and graph signal processing; convex and nonconvex optimization methods for signal processing applications; radar, sonar, and sensor array beamforming and direction finding; communications signal processing; low power, multi-core and system-on-chip signal processing; sensing, communication, analysis and optimization for cyber-physical systems such as power grids and the Internet of Things.
信号和数据分析的理论、算法、性能分析和应用，包括物理建模、处理、检测和参数估计、学习、挖掘、检索和信息提取。“信号”一词包括语音、音频、声纳、雷达、地球物理、生理、（生物）医学、图像、视频和多模态自然和人为信号，包括通信信号和数据。感兴趣的主题包括：统计信号处理、谱估计和系统辨识；滤波器设计；自适应滤波/随机学习；（压缩）采样、传感和变换域方法，包括快速算法；用于机器学习的信号处理和用于信号处理应用的机器学习；网络与图形信号处理；信号处理中的凸和非凸优化方法；雷达、声纳和传感器阵列波束形成和测向；通信信号处理；低功耗、多核、片上系统信号处理；信息物理系统的传感、通信、分析和优化，如电网和物联网。
--

---
英文摘要：
  In this paper, the problem of how to optimally and precisely control array response levels is addressed. By using the concept of the optimal weight vector from the adaptive array theory and adding virtual interferences one by one, the change rule of the optimal weight vector is found and a new formulation of the weight vector update is thus devised. Then, the issue of how to precisely control the response level of one single direction is investigated. More specifically, we assign a virtual interference to a direction such that the response level can be precisely controlled. Moreover, the parameters, such as, the interference-to-noise ratio (INR), can be figured out according to the desired level. Additionally, the parameter optimization is carried out to obtain the maximal array gain. The resulting scheme is called optimal and precise array response control (OPARC) in this paper. To understand it better, its properties are given, and its comparison with the existing accurate array response control ($ {\textrm A}^2\textrm{RC} $) algorithm is provided. Finally, simulation results are presented to verify the effectiveness and superiority of the proposed OPARC.
---
PDF链接：
https://arxiv.org/pdf/1712.10088