@inproceedings{e3d5dfe1351f49e0b9a97ecdc7edc3fc,
title = "A CPM-DSSS Based Low Complexity Carrier Phase and Symbol Timing Offset Joint Estimator",
abstract = "Continuous Phase Modulation-Direct Sequence Spread Spectrum (CPM-DSSS) is a promising technique with the advantages of constant envelope, high spectral efficiency and anti-jamming. The demodulation of CPM-DSSS requires precise synchronisation of carrier phase and symbol timing offset at the receiver side. However, the existing synchronization methods have the problem of high computational complexity. In this work, a low-complexity joint estimator of carrier phase and symbol timing offset based on CPM-DSSS and PAM decomposition is proposed. By performing PAM decomposition on the CPM-DSSS signal and optimising the estimation algorithm with energy weights of each pulse, the computational complexity is reduced by 90 %. Simulation analysis shows that the proposed estimator can achieve the same estimation performance as the ML algorithm with low operational complexity.",
keywords = "CPM, DSSS, PAM Decomposition, Symbol Timing and Carrier Phase Offset Joint Estimate",
author = "Yueyan Zhao and Kezhen Song and Wanyang Jin and Changhao Du",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 6th IEEE Information Technology and Mechatronics Engineering Conference, ITOEC 2022 ; Conference date: 04-03-2022 Through 06-03-2022",
year = "2022",
doi = "10.1109/ITOEC53115.2022.9734427",
language = "English",
series = "IEEE 6th Information Technology and Mechatronics Engineering Conference, ITOEC 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2078--2081",
editor = "Bing Xu and Kefen Mou",
booktitle = "IEEE 6th Information Technology and Mechatronics Engineering Conference, ITOEC 2022",
address = "United States",
}