Journal articles
Blind separation of complex-valued satellite-AIS data for marine surveillance: a spatial quadratic time-frequency domain approach
Blind separation of complex-valued satellite-AIS data for marine surveillance: a spatial quadratic time-frequency domain approach
Abstract : In this paper, the problem of the blind separation of complex-valued Satellite-AIS data for marine surveillance is addressed. Due to the specific properties of the sources under consideration: they are cyclo-stationary signals with two close cyclicfrequencies, we opt for spatial quadratic time-frequency domain methods. The use of an additional diversity, the time delay, is aimed at making it possible to undo the mixing of signals at the multi-sensor receiver. The suggested method involves three main stages. First, the spatial generalized mean Ambiguity function of the observations across the array is constructed. Second, in the Ambiguity plane, Delay-Doppler regions of high magnitude are determined and Delay-Doppler points of peaky values are selected. Third, the mixing matrix is estimated from these Delay-Doppler regions using our proposed non-unitary joint zero-(block) diagonalization algorithms as to perform separation.
Cited literature [29 references]
https://hal-amu.archives-ouvertes.fr/hal-02057520
Contributor : Nadège Thirion-Moreau <>
Submitted on : Tuesday, March 5, 2019 - 1:38:57 PM
Last modification on : Wednesday, February 5, 2020 - 10:24:03 AM
Document(s) archivé(s) le : Thursday, June 6, 2019 - 5:00:12 PM
Contributor : Nadège Thirion-Moreau <>
Submitted on : Tuesday, March 5, 2019 - 1:38:57 PM
Last modification on : Wednesday, February 5, 2020 - 10:24:03 AM
Document(s) archivé(s) le : Thursday, June 6, 2019 - 5:00:12 PM
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