TY - JOUR
T1 - N² LoS: Single-Tag mmWave Backscatter for Robust Non-Line-of-Sight Localization
AU - SHI, Zhenguo
AU - YAN, Yihe
AU - WANG, Yanxiang
AU - HU, Wen
AU - CHOU, Chun Tung
AU - CHENG, Qingqing
AU - YUAN, Weijie
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025/11/19
Y1 - 2025/11/19
N2 - 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.
AB - 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.
KW - backscatter tag
KW - localization
KW - mmWave radar
KW - Non-line-of-sight
UR - https://www.scopus.com/pages/publications/105022425123
U2 - 10.1109/TMC.2025.3634623
DO - 10.1109/TMC.2025.3634623
M3 - Journal Article (refereed)
SN - 1536-1233
JO - IEEE Transactions on Mobile Computing
JF - IEEE Transactions on Mobile Computing
ER -