Blind Source Separation under Semi-White Gaussian Noise and Uniform Noise: Performance Analysis of ICA, Sobi and JadeR

2019 ◽  
Vol 15 (1) ◽  
pp. 27-44
Author(s):  
Muna H. Fatnan ◽  
Zahir M. Hussain ◽  
Hind R. Mohammed
Keyword(s):  
Performance Analysis ◽  
Blind Source Separation ◽  
Gaussian Noise ◽  
Source Separation ◽  
White Gaussian Noise ◽  
Noise Performance ◽  
Uniform Noise

Performance analysis of source separation based on blind source separation

2015 ◽  
Author(s):  
Yang Gao Yang Gao ◽  
Jia Xu Jia Xu ◽  
Huachao Hu Huachao Hu ◽  
Xiuhua Wang Xiuhua Wang
Keyword(s):  
Performance Analysis ◽  
Blind Source Separation ◽  
Source Separation

Performance Analysis of a WCDMA System Model in a Low Mobility and Indoor Environment with Channel Coding over Additive White Gaussian Noise Channel

2015 ◽  
Vol 15 ◽  
pp. 123-133
Author(s):  
Filbert O. Ombongi ◽  
Philip L. Kibet ◽  
Stephen Musyoki
Keyword(s):  
Performance Analysis ◽  
Gaussian Noise ◽  
Channel Coding ◽  
Pulse Shaping ◽  
Additive White Gaussian Noise ◽  
White Gaussian Noise ◽  
System Model ◽  
Shaping Filter ◽  
Coding Scheme ◽  
Data Rates

This paper has analyzed the performance a Wireless Division Multiple Access (WCDMA) system model at a data rate of 384kbps and 2Mbps over an Additive White Gaussian Noise (AWGN) channel. The signal was modulated by Quadrature Phase Shift Keying (QPSK) and Quadrature Amplitude Modulation (QAM) with modulation order, M=16. The performance of the system was enhanced by implementing convolution coding scheme. This study was important as it formed a basis through which the performance analysis can be extended to Long Term Evolution (LTE) networks which have data rates starting from 1Mbps to as high as 100Mbps.The performance of the WCDMA at these data rates was seen to improve when convolutional coding scheme was implemented. Since the Shannon capacity formula depends on the BER of a system then this improvement means an additional capacity in the channel and this can accommodate more users in the channel. The results have further shown that the choice of a modulation technique depending on the throughput required affects the BER performance of the system. Therefore, there must be a trade-off between the throughput required, the modulation format to be used and the pulse shaping filter parameters.

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