Signal modulation identification in multipath channels

Kaichao Zhang; Lin Qi; Wenwen Li

doi:10.1117/12.2557616

3 January 2020 Signal modulation identification in multipath channels

Kaichao Zhang, Lin Qi, Wenwen Li

Proceedings Volume 11373, Eleventh International Conference on Graphics and Image Processing (ICGIP 2019); 113732O (2020) https://doi.org/10.1117/12.2557616
Event: Eleventh International Conference on Graphics and Image Processing, 2019, Hangzhou, China

Abstract

The research of the technology of modulation identification of digital communication signals is one of the key technologies of receivers in non-cooperative communication systems, and it also has important application value in civil and military fields. In the actual wireless communication environment, the phenomenon of multipath transmission exists all the time. However, most of the existing modulation identification methods are based on the ideal environment, which ignore the influence of multipath interference, and the performance of these algorithms is seriously degraded in multipath fading channels. In order to solve this problem, in this paper we proposed a new algorithm for modulation identification in multipath channels, which based on wavelet transform, higher order cyclic cumulant and high-order cumulant. The simulation results show that the algorithm proposed can effectively eliminate the influence of multipath channel and performs well for the identification of signal modulation.

Citation Download Citation

Kaichao Zhang, Lin Qi, and Wenwen Li "Signal modulation identification in multipath channels", Proc. SPIE 11373, Eleventh International Conference on Graphics and Image Processing (ICGIP 2019), 113732O (3 January 2020); https://doi.org/10.1117/12.2557616

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