Liu, Q.; Wang, X., and Li, P., 2019. Interference signal separation algorithm in anonymous communication of wireless network for ships. In: Guido-Aldana, P.A. and Mulahasan, S. (eds.), Advances in Water Resources and Exploration. Journal of Coastal Research, Special Issue No. 93, pp. 633–638. Coconut Creek (Florida), ISSN 0749-0208.

The current algorithm can not effectively separate the time-frequency overlapping interference signals in the anonymous communication of the wireless network for ships. The bit error rate is low, the separated interference signals lose more characteristics of the source signals, and the signal quality is poor. An algorithm for separating interference signals in anonymous communication of wireless network for ships is proposed. The transmission model of communication signals in anonymous communication channels of wireless network for ships is analyzed, and the influence of communication channels on signals is determined. Through spectrum analysis of received interference signals, the whole frequency band of communication signals is divided into several sub-bands. The frequency domain overlap in each signal sub-band is judged, and the number of interference signals is roughly estimated, which retains more frequency domain information characteristics of interference signals. At the same time, the frequency domain characteristics of redundant signals in the frequency band are removed, which obviously reduce the difficulty of separating interference signals in anonymous communication of wireless network for ships, and overcome the drawbacks of current algorithms. For the phenomenon of overlapping signal frequency domain in anonymous communication of wireless network for ships, the overlapping signal in sub-band is separated in spatial domain by receiving signal beam through beamforming technology, and the incident frequency bands with the same direction are reassembled to complete the separation. The experimental results show that the proposed algorithm achieves accurate separation of interference signals, improves the quality of communication signals and reduces the bit error rate.