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Amplitude Blind Estimation of Co-channel Time-Frequency Overlapped Signals

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6GN for Future Wireless Networks (6GN 2021)

Abstract

With the rapid development of wireless communication technology, modulation signals are more and more intensive in the same frequency. Based on the background of non-cooperative communication system, the research on blind estimation of time domain parameters of time-frequency overlapped signals is conducted. An amplitude estimation method of time frequency overlapped signal over single channel based on forth order cyclic cumulants is proposed. This method employs the fourth-order cyclic cumulants amplitude spectrum of the overlapped signal to estimate the amplitude at the cycle frequency of the respective signal symbol rate, thereby obtaining the amplitude estimation value of each signal component. Simulation results show that the proposed blind amplitude estimation method can achieve better estimation performance in low SNR conditions. Compared with the existing estimation method, the proposed method has better estimation performance.

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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Correspondence to Zonghui Lu .

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© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Liu, M., Lu, Z., Ren, Q., Chen, S. (2022). Amplitude 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_41

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  • DOI: https://doi.org/10.1007/978-3-031-04245-4_41

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-04244-7

  • Online ISBN: 978-3-031-04245-4

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