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Multichannel TEQ Design Based on the Maximum Composite SSNR

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Multichannel TEQ Design Based on the Maximum Composite SSNR

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  1. This presentation will probably involve audience discussion, which will create action items. Use PowerPoint to keep track of these action items during your presentation • In Slide Show, click on the right mouse button • Select “Meeting Minder” • Select the “Action Items” tab • Type in action items as they come up • Click OK to dismiss this box • This will automatically create an Action Item slide at the end of your presentation with your points entered. Multichannel TEQ Design Based on the Maximum Composite SSNR *M. Milosevic, **L. Pessoa, and *B. L. Evans 11/17/2014

  2. Introduction • Discrete Multi-Tone (DMT) is multicarrier modulation used in xDSL • Guard period (cyclic prefix) n- samples long inserted between symbols to prevent inter-symbol interference (ISI) • Channel longer than n+1samples causes ISI • Time-domain equalizer (TEQ) used to shorten the channel MPE’02 Asilomar

  3. Published Work • Many TEQ designs exist for the single-channel case • Few attempt multichannel TEQ design • Joint Maximum Shortening SNR method[Melsa, Younce & Rohrs, 1996] • FIR Channel-Shortening Equalizers for MIMO ISI Channels [Al-Dhahir, 2001] • Multichannel TEQ design by loop classification [Farhang-Boroujeny and Ding, 2001] • Eigenfilter Design [Tkacenko & Vaidyanthan 2002] MPE’02 Asilomar

  4. Problem: Multichannel TEQ Design x1 y1 h1 w x2 y2 h2 w xK yK hK w input channels TEQ output MPE’02 Asilomar

  5. Motivation • Design multichannel TEQs for classes of loops present in carrier service area • Simplify G.992.2 Fast Retrain with multichannel TEQ that is applied every time modem recovers from disturbance and the line is slightly different MPE’02 Asilomar

  6. Channel hk(blue line) Yellow – leads to Hkwall Gray – leads to Hkwin sample number Definitions • Hk – convolution channel i matrix • Hkwin – n rows of Hk starting from D (the transmission delay) • Hkwall – remainder of Hk • Ak = (Hkwin)T Hkwin • Bk = (Hk)T Hk • w – TEQ FIR of M taps • w T Ak w – energy of windowed part of shortened channel • w T Bk w – energy of the of shortened channel MPE’02 Asilomar

  7. Modified and Composite SSNR • Define • As TEQ shortens channel Modified SSNR goes to 1 instead of Inf like SSNR • Define Composite SSNR as • Problem: Desired channel energy ISI-causing channel energy MPE’02 Asilomar

  8. Multichannel TEQ Design Algorithm • Find the optimal TEQs wkopt for every channel: 1 through K • Select w= wkopt for which CSSNR p(w) is maximized for all k in the set • Find the maximum of p(w) closest to the initial point using Levin/Almogy iteration MPE’02 Asilomar

  9. Simulation Results • Channels jointly shortened: CSA loops 1-8 • Example: CSA loop 1 and CSA loop 5 MPE’02 Asilomar

  10. Simulation Results • Compared to Melsa’s Joint MSSNR with equal weighting for all channels • Higher p(w) indicates better removal of channel energy outside of desired window (100% max) MPE’02 Asilomar

  11. Conclusions • Multichannel TEQs can be useful and perform well • MCSSNR reports higher data rate than Joint MSSNR • MCSSNR is expensive (multiple generalized eigenvector problems during algorithm) MPE’02 Asilomar

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