Fundamentals of Narrowband Array Signal Processing

Zeeshan Ahmad
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引用次数: 1

Abstract

Array signal processing is an actively developing research area connected to the progress in optimization theory, and remains the key technological development that attracts prevalent attention in signal processing. This chapter provides an overview of the fundamental concepts and essential terminologies employed in narrowband array signal processing. We first develop a general signal model for narrowband adaptive arrays and discuss the beamforming operation. We next introduce the basic performance parameters of adaptive arrays and the second order statistics of the array data. We then formulate various optimal weigh vector solution criteria. Finally, we discuss various types of adaptive filtering algorithms. Besides, this chapter emphasizes the theory of narrowband array signal processing employed in narrowband beamforming and direction-of-arrival (DOA) estimation algorithms.
窄带阵列信号处理基础
阵列信号处理是与优化理论发展密切相关的一个积极发展的研究领域,是信号处理领域备受关注的关键技术发展方向。本章概述了窄带阵列信号处理中使用的基本概念和基本术语。我们首先建立了窄带自适应阵列的通用信号模型,并讨论了波束形成操作。接着介绍了自适应阵列的基本性能参数和阵列数据的二阶统计量。然后,我们制定了各种最优权重向量求解准则。最后,讨论了各种类型的自适应滤波算法。此外,本章还重点介绍了窄带波束形成和到达方向估计算法中窄带阵列信号处理的理论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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