具体情况下基于物理参数的DOA估计算法性能分析

2023 IEEE Statistical Signal Processing Workshop (SSP) Pub Date : 2023-07-02 DOI:10.1109/SSP53291.2023.10208019

Jianwei Zhou, Wenjie Wang, Xi Hong, Ming Yang, Chenhao Zhang

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引用次数: 0

摘要

近几十年来，对到达方向(DOA)估计算法的分析性能分析进行了大量研究，揭示了各种统计特性。然而，即使是针对特定情况，许多分析也未能充分揭示对性能的洞察。本文对几种基于子空间的DOA估计算法进行了额外的性能分析，对不同算法使用高度紧凑和简化的均方误差(MSE)公式，包括对空间平滑方案的扩展。所有统计数据均以物理参数表示，充分揭示了阵列结构与DOA估计性能之间的关系。

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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Performance Analysis of DOA Estimation Algorithms Using Physical Parameters in Specific Cases

Recent decades have seen substantial research into analytical performance analysis of direction-of-arrival (DOA) estimation algorithms, revealing various statistical properties. However, many analyses fail to fully uncover insights into performance even for specific cases. This paper presents additional performance analysis of several subspace-based DOA estimation algorithms, using highly compact and simplified mean squared error (MSE) formulas for different algorithms, including an extension to the spatial smoothing scheme. All statistics are expressed in terms of physical parameters, fully revealing the relationships between array structures and DOA estimation performance.

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2023 IEEE Statistical Signal Processing Workshop (SSP)

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