@inproceedings{4a24b4ec574a43d2a6bddc5e65ac9874,
title = "A New Approach for Enhanced Detection Using Chirp Reference Signals",
abstract = "Matched filtering based on linear frequency modulated (LFM) or chirp signals constitutes a reliable approach for frame detection even in the presence of high carrier frequency offsets (CFOs). However, the use of polyphase codes as discrete versions of LFM signals can lead to strong degradation at the output of the matched filter for certain CFO conditions and sequence lengths, yielding missed detection. This work proposes a new approach to improve the probability of detection achievable with matched filtering for these unfavorable situations. The proposed approach exploits the symmetry of a reference sequence that consists of a polyphase code followed by its complex conjugate with an algorithm based on reversed autocorrelation (RC) and successfully utilizes the robustness of RC against CFO for detection. It is shown that joint detection based on matched filtering and RC can enhance the detection performance significantly compared to conventional matched filtering.",
keywords = "Detection probability, carrier frequency offset, chirp, matched filter, polyphase code, reversed autocorrelation",
author = "Martinez, {Ana Belen} and Atul Kumar and Marwa Chafii and Gerhard Fettweis",
note = "Funding Information: VIII. ACKNOWLEDGMENT This work was supported by the Federal Ministry of Education and Research of the Federal Republic of Germany (BMBF) as part of the project {"}VERITAS{"} under grant 01IS18073E and by the Paris Seine Initiative through the ASIA Chair of Excellence Grant. Publisher Copyright: {\textcopyright} 2020 IEEE.; 92nd IEEE Vehicular Technology Conference, VTC 2020-Fall ; Conference date: 18-11-2020",
year = "2020",
month = nov,
doi = "10.1109/VTC2020-Fall49728.2020.9348675",
language = "English (US)",
series = "IEEE Vehicular Technology Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2020 IEEE 92nd Vehicular Technology Conference, VTC 2020-Fall - Proceedings",
}