@inproceedings{,
    author = {Hofmann, Jonas; Spooner, Chad M.; Knopp, Andreas},
    title = {Conjugate Cyclic Feature Detection in the Presence of LEO-Satellite Doppler Effects},
    editor = {},
    booktitle = {2021 55th Asilomar Conference on Signals, Systems, and Computers},
    series = {},
    journal = {},
    address = {Piscataway, NJ},
    publisher = {IEEE},
    edition = {},
    year = {2021},
    isbn = {},
    volume = {},
    number =  {},
    pages = {49-54},
    url = {https://ieeexplore.ieee.org/document/9723130},
    doi = {10.1109/IEEECONF53345.2021.9723130},
    keywords = {},
    abstract = {The problem of detecting conjugate cyclic features (CCFs) despite time-varying carrier frequency offsets is considered. The novelty of this paper is a model for the conjugate cyclic autocorrelation function (CCAF) of the receive signal when transmitting a cyclostationary signal through a Doppler-rate channel. Moreover, a matched filter (MF) for recovering the energy of the transmitted-signal CCAF is derived. When the Doppler rate is unknown a-priori, the MF can be used in a loop to yield Doppler-shift and Doppler-rate estimates, which facilitates further tasks such as demodulation. Performance advantages over brute-force time-domain de-chirping are demonstrated. While this work is applicable to all channels with rapidly moving receive and transmit antennas, the performance is evaluated on real-world and simulated low-earth orbit satellite data.},
    note = {},
    institution = {Universität der Bundeswehr München, Fakultät für Elektrotechnik und Informationstechnik, EIT 3 - Institut für Informationstechnik, Professur: Knopp, Andreas},
    
    
}