TY - GEN
T1 - Aircraft Acoustic Signal Modeled as Oscillatory Almost-Cyclostationary Process
AU - Napolitano, Antonio
N1 - KAUST Repository Item: Exported on 2021-02-23
Acknowledged KAUST grant number(s): OSR-2019-CRG8-4057
Acknowledgements: This publication is based upon work supported by the King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research (OSR) under Award No. OSR-2019-CRG8-4057
This publication acknowledges KAUST support, but has no KAUST affiliated authors.
PY - 2021/1/24
Y1 - 2021/1/24
N2 - The acoustic almost-cyclostationary signal emitted by a moving aircraft is modeled as an oscillatory almost-cyclostationary process when it is received by a stationary listener. Its autocorrelation function is constituted by the superposition of angle-modulated sinewaves, where the angle modulation is consequence of the time-varying delay due to the relative motion between aircraft and listener. Conditions under which the source almost-cyclostationary signal can be recovered by the received signal by time de-warping are established. Thus, cyclic features of the source signal carrying information on aircraft parameters are estimated by classical cyclic spectral analysis.
AB - The acoustic almost-cyclostationary signal emitted by a moving aircraft is modeled as an oscillatory almost-cyclostationary process when it is received by a stationary listener. Its autocorrelation function is constituted by the superposition of angle-modulated sinewaves, where the angle modulation is consequence of the time-varying delay due to the relative motion between aircraft and listener. Conditions under which the source almost-cyclostationary signal can be recovered by the received signal by time de-warping are established. Thus, cyclic features of the source signal carrying information on aircraft parameters are estimated by classical cyclic spectral analysis.
UR - http://hdl.handle.net/10754/667559
UR - https://ieeexplore.ieee.org/document/9287381/
UR - http://www.scopus.com/inward/record.url?scp=85099289580&partnerID=8YFLogxK
U2 - 10.23919/eusipco47968.2020.9287381
DO - 10.23919/eusipco47968.2020.9287381
M3 - Conference contribution
SN - 9789082797053
SP - 2368
EP - 2372
BT - 2020 28th European Signal Processing Conference (EUSIPCO)
PB - IEEE
ER -