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Robust Precoding for Massive MIMO LEO Satellite Localization Systems
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DOI：10.1109/TVT.2024.3468436.png)
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摘要
En 中文
Low earth orbit (LEO) satellite networks combined with massive multiple-input multiple-output (MIMO) technology are expected to support ubiquitous localization with enhanced gains. This paper investigates robust precoding for massive MIMO LEO satellite localization systems under imperfect prior knowledge on user terminals' position. Specifically, we first characterize the signal propagation properties, and derive the squared position error bound (SPEB) to evaluate the localization performance. Then, under imperfect prior position knowledge, we formulate a worst-case sum SPEB minimization problem and propose a codebook-based robust precoding scheme. Simulation results verify the effectiveness of the proposed robust precoding scheme for massive MIMO LEO satellite localization.
Keyword:
Satellites
Low earth orbit satellites
Location awareness
Precoding
OFDM
Massive MIMO
Symbols
LEO satellite
massive MIMO
localization
robust precoding
SPEB
期刊
IF:
7.1
论文数:
1.8W
被引数:
6.6W
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引用论文
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Active Terminal Identification, Channel Estimation, and Signal Detection for Grant-Free NOMA-OTFS in LEO Satellite Internet-of-ThingsLEO卫星物联网中免授权NOMA-OTFS的主动终端识别、信道估计和信号检测
OAAI
OAAI分享收藏分享收藏分享收藏Integrated Communications and Localization for Massive MIMO LEO Satellite Systems大规模MIMO LEO卫星系统的集成通信和定位OAAI
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