现代雷达2026，Vol.48Issue(5)：1-13,13.DOI:10.16592/j.cnki.1004-7859.2025317
深度学习在DOA估计中的应用综述与展望
A Comprehensive Review and Prospect of the Application of Deep Learning in DOA Estimation
张赛宇 1郑桂妹 2郑榆1
作者信息
- 1. 空军工程大学防空反导学院,陕西西安 710051||空军工程大学研究生院,陕西西安 710051
- 2. 空军工程大学防空反导学院,陕西西安 710051
- 折叠
摘要
Abstract
A systematic review is presented in this paper on the application of deep learning in direction-of-arrival(DOA)estima-tion for array signals.Based on the selected literatures on deep learning-based DOA estimation,the model performance is charac-terized by three categories of evaluation metrics:efficiency-based,error-based and classification-based indicators.The comprehen-sive advantages of deep learning models in terms of efficiency,accuracy and robustness are verified by means of quantitative com-oparison.Furthermore,the three key influencing factors,namely the number of sources,signal-to-noise ratio and snapshot num-ber,are focused and their regulatory rules on model performance are deeply analyzed,revealing the variation characteristics of model performance under different scenarios.This review systematically integrates existing research achievements,clearly presents the technical progress and performance differences of deep learning in DOA estimation,and puts forward application suggestions based on the core advantages of novel neural networks and hybrid architectures,which is of great significance for promoting the the-oretical innovation of deep learning methods in DOA estimation under complex scenarios.关键词
波达方向估计/深度学习/性能评估/影响因素/阵列信号处理Key words
direction of arrival(DOA)estimation/deep learning/performance evaluation/influencing factors/array signal processing分类
信息技术与安全科学引用本文复制引用
张赛宇,郑桂妹,郑榆..深度学习在DOA估计中的应用综述与展望[J].现代雷达,2026,48(5):1-13,13.
