@inproceedings{d779e0c2368e4ff3a1bf7871dcfa4f48,
title = "A Target Position Estimation Method Based on Beam Feature Matching of DSAs",
abstract = "The research on DSAs position estimation method has become a research hotspot in recent decades. However, its random sparse characteristics lead to extremely narrow beam main lobe, so the target search is very difficult. Against these issues, a DSAs target estimation method based on beam feature matching is proposed. The method performs matching search for array beam feature information to realize target estimation. This method effectively reduces the computational complexity compared with existing methods. The simulation results show that the proposed method can reduced the computational complexity effectively for large-scale DSAs.",
keywords = "DOA, DSAs, beam feature matching, matched filtering",
author = "Hujun Geng and Wenxu Liu and Siliang Wu and Lijie Dong and Yinghao Zhang and Xiaosi Zuo",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 6th International Conference on Information Communication and Signal Processing, ICICSP 2023 ; Conference date: 23-09-2023 Through 25-09-2023",
year = "2023",
doi = "10.1109/ICICSP59554.2023.10390779",
language = "English",
series = "2023 6th International Conference on Information Communication and Signal Processing, ICICSP 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "507--511",
booktitle = "2023 6th International Conference on Information Communication and Signal Processing, ICICSP 2023",
address = "United States",
}