N² LoS: Single-Tag mmWave Backscatter for Robust Non-Line-of-Sight Localization

  • Zhenguo SHI*
  • , Yihe YAN
  • , Yanxiang WANG
  • , Wen HU
  • , Chun Tung CHOU
  • , Qingqing CHENG
  • , Weijie YUAN
  • *Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

Abstract

The accuracy of traditional localization methods significantly degrades when the direct path between the wireless transmitter and the target is blocked or non-penetrable. This paper proposes N LoS, a novel approach for precise non-line-of-sight (NLoS) localization using a single mmWave radar and a backscatter tag. N LoS leverages multipath reflections from both the tag and surrounding reflectors to accurately estimate the target's position. N LoS introduces several key innovations. First, we design HFD (Hybrid Frequency-Hopping and Direct Sequence Spread Spectrum) to detect and differentiate reflectors from the target. Second, we enhance signal-to-noise ratio (SNR) by exploiting the correlation properties of the designed signals, improving detection robustness in complex environments. Third, we propose FS-MUSIC (Frequency-Spatial Multiple Signal Classification), a super-resolution algorithm that extends the traditional MUSIC method by constructing a higher-rank signal matrix, enabling the resolution of additional multipath components. We evaluate N LoS using a 24 GHz mmWave radar with 250 MHz bandwidth in three diverse environments: a laboratory, an office, and an around-the-corner corridor. Experimental results demonstrate that N LoS achieves median localization errors of 10.69 cm (X) and 11.98 cm (Y) at a 5 m range in the laboratory setting, showcasing its effectiveness for real-world NLoS localization.
Original languageEnglish
Number of pages14
JournalIEEE Transactions on Mobile Computing
DOIs
Publication statusE-pub ahead of print - 19 Nov 2025

Bibliographical note

Publisher Copyright:
© 2025 IEEE.

Keywords

  • backscatter tag
  • localization
  • mmWave radar
  • Non-line-of-sight

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