Independent Vector Analysis Convolutive Blind Separation Algorithm Based on Step-size Adaptive

Weihong FU; Cong ZHANG

doi:10.11999/JEIT171156

Volume 40 Issue 9

Aug. 2018

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Article Navigation > Journal of Electronics & Information Technology > 2018 > 40(9): 2158-2164

Weihong FU, Cong ZHANG. Independent Vector Analysis Convolutive Blind Separation Algorithm Based on Step-size Adaptive[J]. Journal of Electronics & Information Technology, 2018, 40(9): 2158-2164. doi: 10.11999/JEIT171156

Citation:

Weihong FU, Cong ZHANG. Independent Vector Analysis Convolutive Blind Separation Algorithm Based on Step-size Adaptive[J]. Journal of Electronics & Information Technology, 2018, 40(9): 2158-2164. doi: 10.11999/JEIT171156

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Independent Vector Analysis Convolutive Blind Separation Algorithm Based on Step-size Adaptive

doi: 10.11999/JEIT171156

Weihong FU^{1, 2},
Cong ZHANG^{1
,
,}

1.
School of Telecommunication Engineering, Xidian University, Xi’an 710071, China
2.
Collaborative Innovation Center of Information Sensing and Understanding, Xi’an 710075, China

Funds: The National Natural Science Foundation of China (61201134)

Received Date: 2017-12-06
Rev Recd Date: 2018-04-23

Available Online: 2018-07-12

Publish Date: 2018-09-01

Abstract

Abstract

Independent Vector Analysis (IVA) is one of the best methods to solve the sort ambiguity of convolutive blind separation in frequency domain. However, it needs more iterations and computing time, and the separation effect is susceptible to the initial value of the separation matrix. This paper proposes an IVA convolutive blind separation algorithm based on step-size adaptive, which uses Joint Approximative Diagonalization of Eigenmatrices (JADE) algorithm to initialize the separation matrix and optimizes adaptively the step step-size parameters. JADE initialization can make the separation matrix have an appropriate initial value, thus avoiding the situation of local convergence; step-size adaptive optimization can significantly improve the convergence speed of the algorithm. Simulation results show that this algorithm improves the separation performance and shortens the operation time significantly.

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References(17)

References

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