Abstract
Directional multi-transmitter localization from sparse received-power observations is difficult because the receiver observes only the source-unresolved aggregate field: multiple directional sources superpose, building blockage fragments their visible regions, and stronger sources can mask weaker ones. We present SymNetPro, which retains the dual-task radio-map reconstruction and localization backbone of SymNet and adds two targeted components. First, a sparse line-of-sight (LOS)-aware attention bias injects obstruction-aware spatial relations into selected token interactions. Second, transmitter-drop augmentation recomposes training scenes after removing one sample-supported transmitter, exposing the model to controlled source-cardinality variation. Experiments on directional ray-traced urban environments show substantially lower OSPA than representative localization baselines under extreme sparse sampling, with consistent gains under measurement noise and increasing transmitter count. A transmitter-specific evidence analysis further shows that remaining misses concentrate in regimes where the target contributes little distinguishable power to the aggregate observation.
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Publication details
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- Open access
- Green open access
Cite this article
APA 7
Ye, L., Fan, H., & Huang, Y. (2026). SymNetPro: LOS-Aware Directional Multi-Transmitter Localization from Sparse Radio Observations. https://omanscience.com/en/articles/symnetpro-los-aware-directional-multi-transmitter-localization-from-sparse-radio-observations
MLA 9
Ye, Lyuzhou, et al. "SymNetPro: LOS-Aware Directional Multi-Transmitter Localization from Sparse Radio Observations." https://omanscience.com/en/articles/symnetpro-los-aware-directional-multi-transmitter-localization-from-sparse-radio-observations.
Chicago (author–date)
Ye, Lyuzhou, Heng Fan, and Yan Huang. 2026. "SymNetPro: LOS-Aware Directional Multi-Transmitter Localization from Sparse Radio Observations." https://omanscience.com/en/articles/symnetpro-los-aware-directional-multi-transmitter-localization-from-sparse-radio-observations.
Harvard
Ye, L., Fan, H. and Huang, Y. (2026) 'SymNetPro: LOS-Aware Directional Multi-Transmitter Localization from Sparse Radio Observations', Available at: https://omanscience.com/en/articles/symnetpro-los-aware-directional-multi-transmitter-localization-from-sparse-radio-observations.
Vancouver
Ye L, Fan H, Huang Y. SymNetPro: LOS-Aware Directional Multi-Transmitter Localization from Sparse Radio Observations. https://omanscience.com/en/articles/symnetpro-los-aware-directional-multi-transmitter-localization-from-sparse-radio-observations
IEEE
L. Ye, H. Fan, and Y. Huang, "SymNetPro: LOS-Aware Directional Multi-Transmitter Localization from Sparse Radio Observations," https://omanscience.com/en/articles/symnetpro-los-aware-directional-multi-transmitter-localization-from-sparse-radio-observations.