TY - GEN
T1 - Single-UAV Synthetic-Aperture Passive Localization via Spatial Vector Backprojection
AU - Xu, Ziming
AU - Huan, Hao
AU - Tao, Ran
N1 - Publisher Copyright:
© 2026 IEEE.
PY - 2026
Y1 - 2026
N2 - High-precision passive localization with a single airborne platform remains challenging due to low SNR, navigation errors, and attitude jitter. Traditional single-UAV methods suffer from limited accuracy and weak elevation observability, while multi-UAV schemes - though improving geometry - introduce synchronization and configuration constraints. To address these issues, this paper proposes a spatial-vector backprojection(SVBP) algorithm for single-aircraft, single-antenna passive localization. Exploiting platform motion to form a virtual synthetic aperture, SV-BP builds a trajectory-consistent spatial guidance vector directly from the measured flight path and performs coherent backprojection via subspace projection over the region of interest, enabling high-precision localization. The scene is parameterized by slant range and squint angle, and solved with a compact coarse-to-fine R-θ search that reduces computational load while preserving resolution. Simulations demonstrate marked accuracy gains over representative singlestation methods and strong robustness to YPR(yaw, pitch, and roll) jitter and navigation perturbations, indicating promising potential for onboard, real-time deployment.
AB - High-precision passive localization with a single airborne platform remains challenging due to low SNR, navigation errors, and attitude jitter. Traditional single-UAV methods suffer from limited accuracy and weak elevation observability, while multi-UAV schemes - though improving geometry - introduce synchronization and configuration constraints. To address these issues, this paper proposes a spatial-vector backprojection(SVBP) algorithm for single-aircraft, single-antenna passive localization. Exploiting platform motion to form a virtual synthetic aperture, SV-BP builds a trajectory-consistent spatial guidance vector directly from the measured flight path and performs coherent backprojection via subspace projection over the region of interest, enabling high-precision localization. The scene is parameterized by slant range and squint angle, and solved with a compact coarse-to-fine R-θ search that reduces computational load while preserving resolution. Simulations demonstrate marked accuracy gains over representative singlestation methods and strong robustness to YPR(yaw, pitch, and roll) jitter and navigation perturbations, indicating promising potential for onboard, real-time deployment.
KW - UAV
KW - backprojection
KW - passive location
KW - spatial vector
UR - https://www.scopus.com/pages/publications/105043003141
U2 - 10.1109/WCNC65185.2026.11555183
DO - 10.1109/WCNC65185.2026.11555183
M3 - Conference contribution
AN - SCOPUS:105043003141
T3 - IEEE Wireless Communications and Networking Conference, WCNC
BT - 2026 IEEE Wireless Communications and Networking Conference, WCNC 2026
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2026 IEEE Wireless Communications and Networking Conference, WCNC 2026
Y2 - 13 April 2026 through 16 April 2026
ER -