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Decision Feedback Equalization for Underwater Acoustic Channels

Decision Feedback Equalization for Underwater Acoustic Channels. Deepthi Chander (05407003) Pallavi Manohar (05407002). Features of Underwater Acoustic (UWA) channels. Underwater acoustic channels - severely bandlimited

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Decision Feedback Equalization for Underwater Acoustic Channels

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  1. Decision Feedback Equalization for Underwater Acoustic Channels Deepthi Chander (05407003) Pallavi Manohar (05407002)

  2. Features of Underwater Acoustic (UWA) channels • Underwater acoustic channels - severely bandlimited • High temporal and spatial variability of channel conditions and multipath propagation. • Digital transmission-severe ISI caused. • Non-Gaussian noise environments.

  3. feedforward filter Input Estimated symbol Symbol decision + - - feedback filter + Adaptive Algorithm (RLS) error Training symbol Decision Feedback Equalizer

  4. MSE convergence (AWGN)

  5. MSE convergence (lognormal noise)

  6. Error percent vs SNR (AWGN)

  7. Error percent vs SNR (lognormal noise)

  8. Simulation Set-up • PROpogation channel SIMulator (PROSIM) - based channel model (www.saclantc.nato.int/mast/prosim/mainpg/main.html) • PROSIM used for simulations of broad-band (100Hz-10kHz) sound propagation • Source depth=30 m • Receiver depth = 40 m, Range=1 km • Frequency = 500 Hz • Channel constant for 0.2 minutes and multipath delay spread =0.685 seconds • Data rate assumed = 1000 bps • Noise: AWGN, coloured • Adaptive algorithm: RLS

  9. Channel response at 0.6 minutes

  10. PROSIM channel model simulations • AWGN • Number of taps=32 • Feedforward filter: 20 taps • Feedback filter: 12 taps • At 20 dB SNR : %of bits in error = 35.

  11. Scatter plots

  12. With Coloured noise (obtained using PROSIM)

  13. THANK YOU

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