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Mixing Matrix Estimation Algorithm for Underdetermined Instantaneous Mixing Model

Volume 15, Number 1, January 2019, pp. 337-345
DOI: 10.23940/ijpe.19.01.p34.337345

Fan Shia and Chuang Liub

aFaculty of Maritime and Transportation, Ningbo University, Ningbo, 315211, China
bCollege of Information and Communication Engineering, Harbin Engineering University, Harbin, 150001, China

(Submitted on November 7, 2018; Revised on December 3, 2018; Accepted on January 3, 2019)

Abstract:

Estimating the mixing matrix is a research that focuses on underdetermined blind source separation. In order to get a more accurate estimated mixing matrix, we investigate a novel algorithm for mixing matrix estimation. Firstly, a new method for detecting single source points was introduced. Then, we reckoned the signal quantity and initial clustering centers by adopting an improved clustering method based on the potential function. Finally, the point density theory and the initial clustering centers were utilized to get more accurate clustering centers and estimated the mixing matrix. The simulation results illustrate that we can obtain the more accurate and stable estimation of the mixing matrix by using the proposed algorithm.

 

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