Research on Communication FM Signal Blind Separation under Jamming Environments
Chang-Yue Xu, Gaoming Huang, Xiaoyang Hou · Proceedings of the 2nd International Forum on Management, Education and Information Technology Application (IFMEITA 2017) · 2018
Aimed at the influence of all kinds of artificial jamming on communication signals in complex electromagnetic conditions, the technology of communication signal separation based onFastICA algorithm is proposed.The technology can separate the communication signal of interest from the receiver mixed a variety of jamming sources according to the statistical characteristics of the source signal, and guarantee the expedite communication.In the end, the test which based on the frequency modulation signal of message and voice in frequency modulation jamming, amplitude modulation jamming and pulse jamming is simulated, and the result shows it is very good to separate and demodulate the communication signals of message and voice.Besides, we analyze the performance of information restoration based on the information correlation under different signal to noise ratio (SNR) and jamming to signal ratio (JSR).