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首页> 外文期刊>IEEE Transactions on Aerospace and Electronic Systems >Dimension-Reduced Rx Beamforming Optimized for Simultaneous Detection and Estimation
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Dimension-Reduced Rx Beamforming Optimized for Simultaneous Detection and Estimation

机译：尺寸减小RX波束成形优化，用于同时检测和估计

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摘要

Phased array radar systems are indispensable in many applications requiring robust sensing of the environment. To achieve sensitive target detection and accurate direction-of-arrival (DOA) estimation, a large number of receiving antenna elements are needed. The high dimension of the element-level data inevitably leads to a large computational burden for digital signal processing. This problem can be overcome by transforming the element-level data into a lower dimensional beamspace. In this article, we present a novel parameter-controlled design method to construct this transformation. If the dimension reduction is not too drastic, it jointly achieves optimal detection and DOA estimation performance. Otherwise, it meets predefined performance criteria by exploiting an acceptable tradeoff between detection and DOA estimation performance. We propose a general design tool, which is not limited to a specific array configuration. It comprises a precalculated set of plots, providing the radar designer an overview of possible performance for a given scenario. We describe a straightforward method to construct the corresponding transformation. Numerical studies highlight the superiority of the proposed design method.
机译：相控阵雷达系统是必不可少的，许多需要稳健地感测环境的应用。为了实现敏感的目标检测和精确的到达方式（DOA）估计，需要大量接收天线元件。元素级数据的高维度不可避免地导致数字信号处理的大计算负担。通过将元素级数据转换为较低的维度波束空间，可以克服此问题。在本文中，我们提出了一种新颖的参数控制设计方法来构建该转换。如果尺寸减少不太剧烈，则它共同实现了最佳检测和DOA估计性能。否则，它通过利用检测和DOA估计性能之间的可接受的权衡来满足预定义的性能标准。我们提出了一般的设计工具，不限于特定的阵列配置。它包括预先计算的图组，提供雷达设计师对给定场景的可能性能的概述。我们描述了一种构造相应变换的直接方法。数值研究突出了所提出的设计方法的优越性。

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