TY - GEN
T1 - Range and Doppler Correction for Velocity Vector Estimation using Distributed Non-Coherent Radar Sensors
AU - Buchberger, Christian
AU - Schoisl, Alexander
AU - Biebl, Erwin
N1 - Publisher Copyright:
© 2022 URSI Landesausschuss in der Bundesrepublik Deutsch.
PY - 2022
Y1 - 2022
N2 - Distributed multistatic configurations are increasingly being investigated to improve the capabilities of radar systems in automotive applications. In comparison to monostatic systems, they benefit from multiple view angles that help characterize targets by evaluating estimated monostatic and bistatic radar cross-sections. Also, they enable an increase in spatial resolution as well as the determination of target velocity vectors in one measurement. Depending on the level of coherency of the distributed radar system, different synchronization steps have to be performed before the velocity vectors can be determined. This paper presents range and Doppler correction for non-coherent single-sided bistatic radars using a self-calibration technique. The accuracy of the velocity vector estimation is then evaluated by measurements using a fully automated experimental setup that enables arbitrary target locations, velocities, and movement directions. The results show that high accuracies can be achieved after using the presented correction steps.
AB - Distributed multistatic configurations are increasingly being investigated to improve the capabilities of radar systems in automotive applications. In comparison to monostatic systems, they benefit from multiple view angles that help characterize targets by evaluating estimated monostatic and bistatic radar cross-sections. Also, they enable an increase in spatial resolution as well as the determination of target velocity vectors in one measurement. Depending on the level of coherency of the distributed radar system, different synchronization steps have to be performed before the velocity vectors can be determined. This paper presents range and Doppler correction for non-coherent single-sided bistatic radars using a self-calibration technique. The accuracy of the velocity vector estimation is then evaluated by measurements using a fully automated experimental setup that enables arbitrary target locations, velocities, and movement directions. The results show that high accuracies can be achieved after using the presented correction steps.
KW - Millimeter wave radar
KW - automotive applications
KW - bistatic radar
KW - radar signal processing
UR - http://www.scopus.com/inward/record.url?scp=85143758923&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85143758923
T3 - 2022 Kleinheubach Conference, KHB 2022
BT - 2022 Kleinheubach Conference, KHB 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 Kleinheubach Conference, KHB 2022
Y2 - 27 September 2022 through 29 September 2022
ER -