Abstract
In order to successfully implement blind demodulation of the received signal, it is necessary to make a comprehensive and accurate estimation of the parameters of the received signal. Therefore, parameter estimation of communication signals is an indispensable key technology in underlay cognitive networks. This paper focuses on the initial phase estimation method of time-frequency overlapped signals and the initial phrase blind estimation method based on four-order cyclic cumulants is proposed. In this paper, the four-order cyclic cumulants is computed firstly, then the test statistics are constructed by the ratio of four-order cyclic cumulants in specific frequency and specific cycle frequency. Finally, and the initial phrase of signal component are estimated based on the test statistics. Simulation results show that the proposed method achieves initial phrase estimation of time-frequency overlapped signals effectively and the performance is better.
This work was supported by the National Natural Science Foundation of China under Grant 62071364, in part by the Aeronautical Science Foundation of China under Grant 2020Z073081001, in part by the Fundamental Research Funds for the Central Universities under Grant JB210104, and in part by the 111 Project under Grant B08038.
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Liu, M., Zhang, Z., Chen, S. (2022). Initial Phrase Blind Estimation of Co-channel Time-Frequency Overlapped Signals. In: Shi, S., Ma, R., Lu, W. (eds) 6GN for Future Wireless Networks. 6GN 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 439. Springer, Cham. https://doi.org/10.1007/978-3-031-04245-4_42
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