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UID:pretalx-adass2026-AQYPKM@pretalx.adass.org
DTSTART;TZID=AWST:20261102T164500
DTEND;TZID=AWST:20261102T170000
DESCRIPTION:We present a new GPU-accelerated signal processing pipeline for
  real-time beamforming\, correlation\, and radio frequency interference (R
 FI) mitigation through spatial filtering on densely packed aperture arrays
  and phased array feeds. Developed as an instrument-agnostic pipeline\, we
  demonstrate the pipeline's application to the Low-frequency Australian Me
 gametre-Baseline Demonstrator Array (LAMBDA)\, a new 50–350 MHz VLBI-cap
 able array presently commissioning 36 antennas at the Paul Wild Observator
 y\, Narrabri\, New South Wales\, Australia.\n\nWhile the theory of spatial
 -filtering-based RFI mitigation is well established\, building a working r
 eal-time system raises genuine systems engineering questions: how to struc
 ture a pipeline flexible enough to support rapid iteration on detection an
 d mitigation strategies\; how to cleanly inject a priori information\, suc
 h as sky models or known interferer locations\, into a high-performance pi
 peline\; and how to balance flexibility against the throughput demanded by
  real-time operation. LAMBDA's current modest scale and short baselines ma
 ke it an ideal testbed for iterating on these implementation problems befo
 re deployment at larger arrays. We discuss the design of the pipeline and 
 the trade-offs involved in making it both flexible and fast. We also bench
 mark its GPU throughput\, showing performance sufficient for processing 25
  MHz of bandwidth on one NVIDIA A100 for both the current and full 256-ant
 enna LAMBDA array. Using LAMBDA data\, we demonstrate the pipeline's RFI m
 itigation on real interfering signals.
DTSTAMP:20261001T101725Z
LOCATION:Banquet Hall
SUMMARY:Spatial Filtering in Practice: A GPU Pipeline for Real-Time RFI Mit
 igation - Jay Smallwood
URL:https://pretalx.adass.org/adass2026/talk/AQYPKM/
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