DNN Equalizer

Technical Explanation

At extreme data rates (tens of gigabits per second), multipath reflections from walls and furniture cause severe Inter-Symbol Interference (ISI), where dozens of consecutive symbols collide in time. Classical equalizers (like MMSE or Viterbi) suffer from prohibitive computational complexity when equalizing long delay spreads. The DNN Equalizer uses lightweight neural networks running on baseband DSP accelerators to invert non-linear channel distortion with fixed, predictable execution latency.

Key Functions

• Inverting severe multi-tap inter-symbol interference (ISI) across wideband channels
• Fixed, deterministic execution latency matching strict microsecond HRLLC budgets
• Robust performance across non-linear hardware distortions and clipping effects
• Continuous online training updating neural weights to track changing room multipath
• Significantly lower power consumption compared to traditional high-tap iterative equalizers