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Abstract-Independent Component Analysis, a computationally efficient statistical signal processing technique, has been an area of interest for researchers for many practical applications in various fields of science and engineering. The present paper proposes a constrained genetic algorithm optimization based independent component analysis assuming a noise free Independent Component Analysis (ICA) model. It investigates on the application and performance of the popular evolutionary computation technique GA in independent component analysis problem. It is observed that the proposed constrained genetic algorithm optimization based ICA overcomes the long standing permutation ambiguity and recovers the independent components in a fixed order which is dependent on the statistical characteristics of the signals to be estimated. The constrained GA based ICA has also been compared with the most popular fast ICA algorithm.

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In this paper, a visible light communication (VLC) in the indoor environment based on MIMO system is investigated and analyzed. An attempt is made to optimize the placement of light emitting diodes (LED) VLC emitter in ൈ MIMO configuration at ceiling and ground floor for the receiver to obtain uniform signal-to-noise ratio (SNR) for the desired bit error rate (BER) in the given area. The system is also optimized for the necessary power transmission from LED emitters for the maximum data rate. Two channel coding techniques repetition code (RC) and spatial modulation (SM) are analyzed and their BER and data rate performance results are presented for different receiver spacing moving in the entire area. The result shows that RC gives almost constant SNR whereas SM offers better SNR ratio for more spacing between receivers. In the case of SM, only one transmitter will transmit at a time. So the SNR value will be very low at other corner of the room.