摘要
in this paper ,an imprcoed nonltnear cancellation techn,que is proposed for ,wnioving nonlin-ear intersyde interference for voicel,and data lransmiss,on over dtspersive no,ilinear channels. A newstrecture 'cancellation first ,match and egualization later' is adopled in lhe ,wceiver. A fractionally-spaced equalizer (FSE)behind the nonlinear canceller can perform the functions of both a maitched fil-ter and a linear equalizer,and maximize the oulput signal to noise ralio . so that a perforniance im-provement of 2～ 3 dB is obtained compared with Biglteri's system￣[5].The ftrst order Volterra kernelmeasurement and adaptive recursive algorithms are used for the nonlinear channel eslimulor whichadaptively follws parameters of dispersive nonlinear channels. This approach allews a simple. and ef-fective implementalton ,as less computations are required. Simulation results for 9. 6 kbil/s data trans-mission over dispersive nonlinear channels show thal the nonlinear cancellalion proposed in this papercan reduce the probalelity of btt error by three orders of magnitude for the 16 QAM syuem.
in this paper ,an imprcoed nonltnear cancellation techn,que is proposed for ,wnioving nonlin-ear intersyde interference for voicel,and data lransmiss,on over dtspersive no,ilinear channels. A newstrecture 'cancellation first ,match and egualization later' is adopled in lhe ,wceiver. A fractionally-spaced equalizer (FSE)behind the nonlinear canceller can perform the functions of both a maitched fil-ter and a linear equalizer,and maximize the oulput signal to noise ralio . so that a perforniance im-provement of 2～ 3 dB is obtained compared with Biglteri's system￣[5].The ftrst order Volterra kernelmeasurement and adaptive recursive algorithms are used for the nonlinear channel eslimulor whichadaptively follws parameters of dispersive nonlinear channels. This approach allews a simple. and ef-fective implementalton ,as less computations are required. Simulation results for 9. 6 kbil/s data trans-mission over dispersive nonlinear channels show thal the nonlinear cancellalion proposed in this papercan reduce the probalelity of btt error by three orders of magnitude for the 16 QAM syuem.
