Title :
Blind Identification of Underdetermined Mixtures Based on the Characteristic Function: The Complex Case
Author :
Luciani, Xavier ; De Almeida, André L F ; Comon, Pierre
Author_Institution :
French Inst. INSERM, France
Abstract :
Blind identification of underdetermined mixtures can be addressed efficiently by using the second ChAracteristic Function (CAF) of the observations. Our contribution is twofold. First, we propose the use of a Levenberg-Marquardt algorithm, herein called LEMACAF, as an alternative to an Alternating Least Squares algorithm known as ALESCAF, which has been used recently in the case of real mixtures of real sources. Second, we extend the CAF approach to the case of complex sources for which the previous algorithms are not suitable. We show that the complex case involves an appropriate tensor stowage, which is linked to a particular tensor decomposition. An extension of the LEMACAF algorithm, called then proposed to blindly estimate the mixing matrix by exploiting this tensor decomposition. In our simulation results, we first provide performance comparisons between third- and fourth-order versions of ALESCAF and LEMACAF in various situations involving BPSK sources. Then, a performance study of is carried out considering 4-QAM sources. These results show that the proposed algorithm provides satisfying estimations especially in the case of a large underdeterminacy level.
Keywords :
blind source separation; least mean squares methods; matrix decomposition; phase shift keying; quadrature amplitude modulation; tensors; 4-QAM; BPSK; LEMACAF algorithm; Levenberg-Marquardt algorithm; blind identification; characteristic function; least squares algorithm; mixing matrix; tensor decomposition; underdetermined mixtures; Bismuth; Electronic mail; Estimation; Mathematical model; Matrix decomposition; Signal processing algorithms; Tensile stress; Blind identification (BI); blind source separation; characteristic function; complex sources; tensor decomposition; underdetermined mixtures;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2010.2089625