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Blind source separation (BSS) and Independent component analysis has become hot topic in modern signal processing, which has attracted great interest in fields such as wireless communications, cognitive radio and 5G communications. For the particular advantage of ‘blind’, ICA has been introduced into the problem of communication anti-jamming. The real situation of wireless communication was mainly...
According to the independence between the jamming signal and the frequency hopping (FH) signal a novel independent component analysis (ICA) based antijamming method is proposed in this paper. When FH operates in peer to peer mode, two antennas are introduced at the receiver end. Firstly, two received signal are processed by ICA. From the blind separation between the FH signal and the jamming signal,...
Compared with common jamming techniques, the correlated jamming is much efficient against the frequency hopping (FH) communication system. Because of the similarity between the correlated jamming signal and the FH signal, it is very difficult for common anti-jamming techniques to deal with such correlated jamming. According to the independence between the payload of the correlated jamming signal and...
A novel multimodal approach is proposed to solve the problem of blind source separation (BSS) of moving sources. The challenge of BSS for moving sources is that the mixing filters are time varying; thus, the unmixing filters should also be time varying, which are difficult to calculate in real time. In the proposed approach, the visual modality is utilized to facilitate the separation for both stationary...
Communication signals are appropriately to be modeled as cyclostationary stochastic processes. The most significant advantage of cyclostationarity is its suppression on the stationary noise and interference. Therefore, cyclostationary theory has been a powerful tool in LPI (Low Probability of interception) signal processing. In non-cooperative condition, blind detection and parameter estimation of...
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