A Spatio-Temporal Signal Dimension Reduction Method for Integrated Localization and Sensing

被引：0
|
作者：
Li, Yi [1 ]
Zhao, Hanying [1 ]
Shen, Yuan [1 ]
机构：
[1] Tsinghua Univ, Beijing Natl Res Ctr Informat Sci & Technol BNRis, Dept Elect Engn, Beijing 100084, Peoples R China
来源：
2022 IEEE 21ST MEDITERRANEAN ELECTROTECHNICAL CONFERENCE (IEEE MELECON 2022) | 2022年
基金：
中国国家自然科学基金; 国家重点研发计划;
关键词：
PULSE-COMPRESSION; RADAR; NETWORK;
D O I：
10.1109/MELECON53508.2022.9843131
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The development of millimeter-wave frequency band and large-scale antenna arrays offers great opportunities for high-accuracy localization and sensing, but at the cost of large communication overheads, big memory, and complex computation. In this context, effectively reducing signal dimension to alleviate resource consumption is essential in practice. In this paper, we propose a spatio-temporal signal dimension reduction method, which reduces signal dimensions without information loss for integrated localization and sensing. Different from the existing reduction methods only considering one domain, we reduce both the temporal and the spatial signal dimensions and reveal the compressible property of the array signals.
引用
收藏
页码：290 / 294
页数：5
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