Systems Engineering and Electronics

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Broadband blind source separation algorithm based on array model

XIONG Kun-lai, LIU Zheng, JIANG Wen-li   

  1. College of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China
  • Online:2014-04-24 Published:2010-01-03

Abstract:

Aiming at the problem that conventional blind source separation algorithms are not suitable for the broadband mixed signals, a new blind source separation algorithm based on the array model is proposed. The method of subband decomposition is adopted to realize the expansion of instantaneous complexvalued blind source separation methods under the broadband condition. Using the characters of the separating matrix and mixing matrix in array model, a new method based on direction of arrival (DOA) estimation for solving the scaling and permutation ambiguities is proposed. The simulation results show that the algorithm can not only separate broadband mixed signals effectively, but also recover the signals’ amplitude correctly.

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