Luo, Zhongqiang and Zhang, Wei and Zhu, Lidong and Li, Chengjie (2019) Minimum BER Criterion Based Robust Blind Separation for MIMO Systems. INFOCOMMUNICATIONS JOURNAL, 11 (1). pp. 38-44. ISSN 2061-2079
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Abstract
In this paper, a robust blind source separation (BSS) algorithm is investigated based on a new cost function for noise suppression. This new cost function is established according to the criterion of minimum bit error rate (BER) incorporated into maximum likelihood (ML) principle based independent component analysis (ICA). With the help of natural gradient search, the blind separation work is carried out through optimizing this constructed cost function. Simulation results and analysis corroborate that the proposed blind separation algorithm can realize better performance in speed of convergence and separation accuracy as opposed to the conventional ML-based BSS.
| Item Type: | Article |
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| Subjects: | H Social Sciences / társadalomtudományok > HE Transportation and Communications > HE2 Communications / hírközlés Q Science / természettudomány > QA Mathematics / matematika > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány |
| Depositing User: | Andrea Tankó |
| Date Deposited: | 28 Sep 2021 13:40 |
| Last Modified: | 28 Sep 2021 13:40 |
| URI: | http://real.mtak.hu/id/eprint/131222 |
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