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Blind parameter estimation for co-channel digital communication signals

Liu, M.; Yu, S.; Chen, Y.; Chen, S.

Blind parameter estimation for co-channel digital communication signals Thumbnail


Authors

M. Liu

S. Yu



Abstract

With the rapid development of wireless communication technology, modulation signals are more and more intensive in the same frequency. Timefrequency overlapped signal over co-channel widely exists in the shortwave, ultrashort wave and satellite channels, so the research on the time-frequency overlapped signals in non-cooperation receiver is of great significance. This paper firstly studies on blind estimation of amplitude of time-frequency overlapped signals. On the basis of deep analysis of cyclic stationary characteristic in the time-frequency overlapped signals, an amplitude estimation method of time frequency overlapped signal over co-channel based on four-order cyclic cumulants is proposed. The magnitude of the signal components is estimated by using the amplitude value of four-order cyclic cumulants of overlapped signals in certain cyclic frequency. And then an initial phase estimation method based on four-order cyclic cumulants is proposed in this paper. Experiments are conducted to verify the proposed parameter estimation method of timefrequency overlapped signals in this paper. Simulation results show that the proposed blind estimation method can achieve better estimation performance in low signal-to-noise ratio (SNR) conditions.

Citation

Liu, M., Yu, S., Chen, Y., & Chen, S. (2024). Blind parameter estimation for co-channel digital communication signals. Wireless Networks, 30, 5589–5599. https://doi.org/10.1007/s11276-023-03282-z

Journal Article Type Article
Acceptance Date Feb 6, 2023
Online Publication Date Mar 22, 2023
Publication Date 2024-08
Deposit Date Mar 10, 2023
Publicly Available Date Mar 23, 2024
Journal Wireless Networks
Print ISSN 1022-0038
Electronic ISSN 1572-8196
Publisher Springer
Peer Reviewed Peer Reviewed
Volume 30
Pages 5589–5599
DOI https://doi.org/10.1007/s11276-023-03282-z
Public URL https://durham-repository.worktribe.com/output/1178620

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Accepted Journal Article (711 Kb)
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Copyright Statement
This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/s11276-023-03282-z





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