TY - GEN
T1 - Estimating the Angle of Arrival from Multiple RF Sources using Phase Interferometry
AU - Florio, Antonello
AU - Avitabile, Gianfranco
AU - Man, Ka Lok
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Currently, many scientists work on localization issues, especially in telecommunication applications. Radiolocation can be performed by means of techniques based on spatial spectral functions, such as the MUSIC algorithm, which have proven to be very efficient but are a significant burden for computational resources. In this work, we present a behavioral characterization of the Multi-Source I/Q Low-Pass Mixing (M-IQ LPM) algorithm for AoA estimation from multiple incoherent sources, evaluating its performance when varying the number of sources.
AB - Currently, many scientists work on localization issues, especially in telecommunication applications. Radiolocation can be performed by means of techniques based on spatial spectral functions, such as the MUSIC algorithm, which have proven to be very efficient but are a significant burden for computational resources. In this work, we present a behavioral characterization of the Multi-Source I/Q Low-Pass Mixing (M-IQ LPM) algorithm for AoA estimation from multiple incoherent sources, evaluating its performance when varying the number of sources.
KW - Angle-of-Arrival
KW - Localization
KW - Radiolocation
UR - http://www.scopus.com/inward/record.url?scp=85148468358&partnerID=8YFLogxK
U2 - 10.1109/ISOCC56007.2022.10031322
DO - 10.1109/ISOCC56007.2022.10031322
M3 - Conference Proceeding
AN - SCOPUS:85148468358
T3 - Proceedings - International SoC Design Conference 2022, ISOCC 2022
SP - 193
EP - 194
BT - Proceedings - International SoC Design Conference 2022, ISOCC 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 19th International System-on-Chip Design Conference, ISOCC 2022
Y2 - 19 October 2022 through 22 October 2022
ER -