Zhongqiang Luo, Wei Zhang, Lidong Zhu and Chengjie Li
Minimum BER Criterion Based Robust Blind Separation for MIMO Systems
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.
Please cite this paper the following way:
Zhongqiang Luo, Wei Zhang, Lidong Zhu and Chengjie Li, "Minimum BER Criterion Based Robust Blind Separation for MIMO Systems", Infocommunications Journal, Vol. XI, No 1, March 2019, pp. 38-44. DOI: 10.36244/ICJ.2019.1.5