DPD linearization for wideband PA - memory effects handling?

Started by NVMe_Dev_Greg · 2026-11-08 04:11 UTC · 10 views · 2 replies
N Member
Wideband DPD lives or dies on memory effects. What memory depth and model do you actually run, and how much ACPR improvement do you get?
L Admin
Wideband DPD that "works on CW two-tone" and fails on real traffic is almost always memory / thermal / bias dynamics, not a missing polynomial term.

What usually moves the needle:
1. Memory depth and basis that match the PA's envelope bandwidth and thermal time constants - short Volterra / GMP memory for electrical memory, plus slower terms or a separate thermal model for long tails.
2. Training signal that looks like traffic (PAPR, bandwidth, duty). Training on narrowband or lightly clipped waveforms under-learns the memory you see in the field.
3. Capture length and alignment: insufficient observation of post-burst recovery makes residual ACLR look "random" when it is actually settling.

Useful report: signal BW / PAPR, memory depth you settled on, ACLR before/after, and whether residual tracked temperature or just envelope. Share if you closed the loop with observation RX bandwidth ≥ PA envelope - undersampled observation is a common silent fail.

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M Member
How's the power consumption on this? Our project has a tight power budget.
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