TY - GEN
T1 - Sequence Design for Frame Detection Based on Autocorrelation
AU - Belen Martinez, Ana
AU - Kumar, Atul
AU - Chafii, Marwa
AU - Fettweis, Gerhard
N1 - Funding Information:
VII. ACKNOWLEDGMENT This work was supported in parts by the Federal Ministry of Education and Research, Germany, as part of the project "VERITAS" under grant 01IS18073E and by the Paris Seine Initiative through the ASIA Chair of Excellence Grant.
Publisher Copyright:
© 2021 IEEE.
PY - 2021/4
Y1 - 2021/4
N2 - Autocorrelation (AC) is one of the most frequently used methods for initial acquisition. Usually, algorithms that employ a metric based on AC for this purpose, focus on the estimation of synchronization parameters, ignoring the detection performance. This paper analyses the relationship between the structure of the reference sequence that serves to compute the AC and the corresponding attainable detection performance. The distributions of test statistics based on AC for frame detection are derived and validated through simulations in a frequency-flat fading channel. It is shown that the use of AC can outperform, in terms of detection performance, the more complex matched filtering in a certain signal-to-noise ratio region, at the cost of significantly longer required sequences. Besides, we show that a set of sequences, with different periodic structures, can provide the same target detection probability, allowing a flexible sequence design.
AB - Autocorrelation (AC) is one of the most frequently used methods for initial acquisition. Usually, algorithms that employ a metric based on AC for this purpose, focus on the estimation of synchronization parameters, ignoring the detection performance. This paper analyses the relationship between the structure of the reference sequence that serves to compute the AC and the corresponding attainable detection performance. The distributions of test statistics based on AC for frame detection are derived and validated through simulations in a frequency-flat fading channel. It is shown that the use of AC can outperform, in terms of detection performance, the more complex matched filtering in a certain signal-to-noise ratio region, at the cost of significantly longer required sequences. Besides, we show that a set of sequences, with different periodic structures, can provide the same target detection probability, allowing a flexible sequence design.
KW - Detection probability
KW - autocorrelation
KW - matched filtering
KW - reference sequence
KW - synchronization
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U2 - 10.1109/VTC2021-Spring51267.2021.9448669
DO - 10.1109/VTC2021-Spring51267.2021.9448669
M3 - Conference contribution
AN - SCOPUS:85112424505
T3 - IEEE Vehicular Technology Conference
BT - 2021 IEEE 93rd Vehicular Technology Conference, VTC 2021-Spring - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 93rd IEEE Vehicular Technology Conference, VTC 2021-Spring
Y2 - 25 April 2021 through 28 April 2021
ER -