@inproceedings{abbe7408c8d7461db0c027cf9b18bbb2,
title = "Research on 2-D Sparse MIMO Planar Array Topologies for High-Resolution DOA Estimation",
abstract = "Direction of arrival (DOA) estimation constitutes a critical technology across diverse domains including detection and communication. The approach of using planar arrays with more sensors in DOA estimation has high resolution in detection. Notably, active array architectures such as MIMO configurations employed in DOA estimation offer distinct advantages in passive target detection, with their inherent sum co-array characteristics significantly improving estimation accuracy. Consequently, the development of planar sparse active array configurations emerges as a new research direction for achieving compact system dimensions while maintaining high-resolution performance. This study proposes a new planar sparse MIMO array geometry specifically designed to amplify the benefits of advanced signal processing techniques. Simulations and comparative analyses reveal that when integrated with optimized configurations, the proposed array demonstrates enhanced multi-signal detection capabilities and superior estimation accuracy compared to conventional array architectures, as well as existing sum or difference co-array methodologies.",
keywords = "DCSC, DOA, MIMO, planar sparse arrays, virtual arrays",
author = "Xifeng Peng and Shiwei Ren and Guiyu Wang and Zhaoyixin Li and Xiangnan Li",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 2025 17th International Conference on Signal Processing Systems, ICSPS 2025 ; Conference date: 24-10-2025 Through 26-10-2025",
year = "2025",
doi = "10.1109/ICSPS66615.2025.11347662",
language = "English",
series = "Proceedings - 2025 17th International Conference on Signal Processing Systems, ICSPS 2025",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1538--1542",
booktitle = "Proceedings - 2025 17th International Conference on Signal Processing Systems, ICSPS 2025",
address = "United States",
}