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- W2526972204 abstract "Detecting multi-target using wireless sensor network is a research hotspot in recent years, and it has broad application prospect. Aiming at the problem that signal mixture exists in wireless sensor networks for multi-target detection, this paper proposed a blind source separation BSS algorithm to process mixed signal. The algorithm took detected multi-channel signal as research object. The number of sources in signals was determined utilising eigenvalue method firstly, transforming over-determined BSS into well-posed. Then separation of signals was achieved using non-negative matrix factorisation NMF. Experiments utilised four channel man-made signals and two speeches separately to validate the proposed algorithm. Results showed presented algorithm could determine the number of sources in multi-channel signals and it can be used to solve signal mixture problem in multi-target detection." @default.
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- W2526972204 date "2016-01-01" @default.
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- W2526972204 title "Wireless sensor network for multi-target detection algorithm based on blind source separation" @default.
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- W2526972204 doi "https://doi.org/10.1504/ijsn.2016.079275" @default.
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