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An adaptive FIR filter for a high speed VLC system
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International Journal of Sensor Networks and Data Communications

ISSN: 2090-4886

Open Access

An adaptive FIR filter for a high speed VLC system


2nd International Conference and Business Expo on Wireless & Telecommunication

April 21-22, 2016 Dubai, UAE

Nour El Sayed

University of Wollongong in Dubai, UAE

Posters & Accepted Abstracts: Sensor Netw Data Commun

Abstract :

Light-emitting diode (LED) devices are being used in a wide range of applications for both illumination and as a communication system. The use of LEDs as emitters for communications is evolving and it is likely that visible light communications (VLC) will provide extra data transmission capacity in the future wireless systems. At present devices used for illumination suffers from inter symbol interference (ISI). To reduce the inter symbol interference an adaptive FIR filter (an adaptive equalizer filter) is placed in the transmitter side and a raised cosine filter (RCC) is introduced in the receiver circuit. To find the optimal coefficients for the FIR filter, previous channel information and off-line adaptive algorithm is used. The proposed adaptive FIR was verified using Simulink and MATLAB. The FIR filter structure is designed with 4-tap for the simulation purpose. For compatibility and flexibility, the channel impulse response is randomly selected. The bit error rate (BER) performance of the VLC system together with other measures such as data rate and distance were compared with the results obtained without the use of equalizer circuits. It clearly shows an advantage of using the pre- equalizer FIR filter in improving the system performance.

Biography :

Nour El Sayed is in the final year of his Bachelor’s Degree in Telecommunication Engineering at the University of Wollongong. His professional memberships include the following but not limited to; Institute of Electrical and Electronics Engineers (IEEE), and Engineers Australia.

Email: nehs817@uowmail.edu.au

Google Scholar citation report
Citations: 343

International Journal of Sensor Networks and Data Communications received 343 citations as per Google Scholar report

International Journal of Sensor Networks and Data Communications peer review process verified at publons

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