Publication Type : Journal Article
Publisher : International Journal of Scientific & Engineering Research
Source : International Journal of Scientific & Engineering Research, Volume 11, Issue 9 (2020)
Url : https://www.ijser.org/researchpaper/IMPLEMENTATION-OF-BLIND-SOURCE-SEPERATION-USING-FPGA.pdf
Keywords : ADC, Blind source separation, DAC, FastICA, FPGA, Memory, Redpitaya
Campus : Bengaluru
School : Department of Computer Science and Engineering, School of Engineering
Department : Computer Science
Year : 2020
Abstract : Blind source separation is a method to separate source signals from mixed signals without any data loss”. This technique has recently drawn a lot of attention in the field of Space research. This paper presents an efficient implementation of the Blind source separation algorithm [FASTica] using FPGA and its optimization. In general independent component analysis[ICA] algorithm separates the source signal from mixed-signal by finding a linear transformation that can maximize the mutual independence of the mixture. FASTica algorithm is the advanced version of the ICA algorithm.FASTica algorithm measures the non-gaussianity using the kurtosis algorithm to find the independent source of their mixture. Blind source separation algorithms are highly computational complex in nature[Vector multiplication, matrix multiplication, Matrix inverse, etc.], To provide high computing power for the algorithm while implementing we are using hardware called FPGA, which is hard to achieve in MCUs [Microcontroller units]. “FPGAs are semiconductor devices which contain programmable logic blocks and interconnection circuit”. The main challenges while hardware implementation of BSS algorithms is required high processing speed [Because of complex computations], Memory requirement, and power consumption. These challenges can easily solve by using FPGA. Optimization of a blind source separation algorithm can be done by using the technique called pipelining, Through this, the performance and accuracy of blind source signal separation are improved.
Cite this Research Publication : Avyshakh C.P, Vineetha Jain, and Chinthala, D. R., “Implementation of Blind source separation using FPGA”, International Journal of Scientific & Engineering Research, vol. 11, no. 9, 2020.