Volume 5, Issue 2 (June 2009)                   IJEEE 2009, 5(2): 102-111 | Back to browse issues page

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Rajbhandari S, Ghassemlooy Z, Angelova M. Performance of the Wavelet Transform-Neural Network Based Receiver for DPIM in Diffuse Indoor Optical Wireless Links in Presence of Artificial Light Interference. IJEEE 2009; 5 (2) :102-111
URL: http://ijeee.iust.ac.ir/article-1-146-en.html
Performance of the Wavelet Transform-Neural Network Based Receiver for DPIM in Diffuse Indoor Optical Wireless Links in Presence of Artificial Light Interference
Sujan Rajbhandari , Zabih Ghassemlooy , Maia Angelova
Abstract:   (14331 Views)
Artificial neural network (ANN) has application in communication engineering in diverse areas such as channel equalization, channel modeling, error control code because of its capability of nonlinear processing, adaptability, and parallel processing. On the other hand, wavelet transform (WT) with both the time and the frequency resolution provides the exact representation of signal in both domains. Applying these signal processing tools for channel compensation and noise reduction can provide an enhanced performance compared to the traditional tools. In this paper, the slot error rate (SER) performance of digital pulse interval modulation (DPIM) in diffuse indoor optical wireless (OW) links subjected to the artificial light interference (ALI) is reported with new receiver structure based on the discrete WT (DWT) and ANN. Simulation results show that the DWT-ANN based receiver is very effective in reducing the effect of multipath induced inter-symbol interference (ISI) and ALI.
Keywords: Optical Wireless Communication , Discrete Wavelet Transform , Artificial Neural Network , Artificial Light Interference , Multipath Propagation
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Type of Study: Research Paper | Subject: Optical Communications
Received: 2009/05/31 | Accepted: 2009/05/31
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