Blind signal separation based on widely linear complex autoregressive process of order one
2021 ◽
Vol 2021
(1)
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Keyword(s):
AbstractIn this paper, the blind signal separation problem of complex baseband signal is addressed. A widely linear complex autoregressive process of order one is employed to represent the temporal structure of complex sources. We formulate a new contrast function by a convex combination of generalized autocorrelations and the statistics of the innovation. And the proposed contrast function is optimized by gradient method. Simulation results show that the proposed algorithm is better than the comparison algorithm in convergence speed and convergence accuracy.
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2013 ◽
Vol 61
(22)
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pp. 5507-5519
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2009 ◽
Vol 26
(5)
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pp. 608-613
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Keyword(s):
2018 ◽
Vol 12
(9)
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pp. 1115-1122
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Keyword(s):
2013 ◽
Vol 756-759
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pp. 3845-3848