TY - GEN
T1 - Tangential Velocity Estimation Using Separated Non-Coherent Automotive Radar Array
AU - Shifrin, M.
AU - Tabrikian, J.
AU - Bilik, I.
N1 - Publisher Copyright:
© 2025 European Signal Processing Conference, EUSIPCO. All rights reserved.
PY - 2025/1/1
Y1 - 2025/1/1
N2 - Automotive radar is the main sensor enabling autonomous driving and active safety features. It is required to provide high-resolution information on the vehicle’s surroundings, accurately localize obstacles, and estimate their velocity in two dimensions. Conventional automotive radars operating in the far-field regime estimate only the target’s radial velocity and cannot obtain its tangential velocity. However, the near-field propagation conditions allow the tangential radar target velocity estimation. This work leverages our previous identifiability study, where the conditions for the tangential velocity estimation have been stated, and proposes an iterative algorithm for tangential velocity estimation in automotive near-field scenarios using a non-coherent separated sensor array. The performance of the proposed approach is evaluated, and its efficiency and near-field synthetic aperture (NFSA) dependency is demonstrated via simulations.
AB - Automotive radar is the main sensor enabling autonomous driving and active safety features. It is required to provide high-resolution information on the vehicle’s surroundings, accurately localize obstacles, and estimate their velocity in two dimensions. Conventional automotive radars operating in the far-field regime estimate only the target’s radial velocity and cannot obtain its tangential velocity. However, the near-field propagation conditions allow the tangential radar target velocity estimation. This work leverages our previous identifiability study, where the conditions for the tangential velocity estimation have been stated, and proposes an iterative algorithm for tangential velocity estimation in automotive near-field scenarios using a non-coherent separated sensor array. The performance of the proposed approach is evaluated, and its efficiency and near-field synthetic aperture (NFSA) dependency is demonstrated via simulations.
KW - Cramér-Rao bound
KW - Tangential velocity estimation
KW - automotive radar
KW - near-field
KW - non-coherent arrays
KW - separated array
UR - https://www.scopus.com/pages/publications/105029800180
U2 - 10.23919/EUSIPCO63237.2025.11226583
DO - 10.23919/EUSIPCO63237.2025.11226583
M3 - Conference contribution
AN - SCOPUS:105029800180
T3 - European Signal Processing Conference
SP - 1402
EP - 1406
BT - 2025 33rd European Signal Processing Conference, EUSIPCO 2025 - Proceedings
PB - European Signal Processing Conference, EUSIPCO
T2 - 33rd European Signal Processing Conference, EUSIPCO 2025
Y2 - 8 September 2025 through 12 September 2025
ER -