Performance of the Wavelet Transform-Neural Network Based Receiver for DPIM in Diffuse Indoor Optical Wireless Links in Presence ofArtificial Light Interference

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 non linear processing, adaptabi1ity, and parallel processing. on the otherhand, wavelet transform (w't) 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 comparedto the traditional tools. in this paper, the slot error rate (ser) performance of digital pulse interval modulation (dpim) in diffuse indoor optical wireless (()w) links subjected to the artificial light interference (ali) is reported with new receiver structure based on thediscrete wt (dwt) and ann. simulation results show that the [)wt-ann based receiver is very effecti ve in reducing the effect of multipath induced inter-symbol interference (lsi) and ali.