7th IEICE-CS International Conference on Emerging Technologies for Communications - IEICE ICETC 2026, Taipéi (Taiwan). 23-25 November 2026
Summary:
This paper presents a hardware-efficient architecture for real-time detection of Zadoff–Chu (ZC) sequences embedded within continuous data streams. The proposed system employs a sliding-window, multi-context FFT-based correlator combined with an event-driven detection strategy. Unlike conventional synchronous approaches, the architecture operates on valid-driven events and does not require strict frame alignment. A triggered capture mechanism is also introduced to reduce data bandwidth by selectively storing relevant signal segments. The design is validated on FPGA and evaluated in terms of detection performance and hardware efficiency.
Spanish layman's summary:
Hemos diseñado un sistema en chip (FPGA) que detecta en tiempo real una 'firma' de radio dentro de un flujo continuo de datos inalámbricos, con muchos menos recursos de cálculo que los métodos habituales. Permite a las radios del futuro detectar señales rápida y eficientemente.
English layman's summary:
We designed a chip-level (FPGA) system that spots a specific radio 'signature' inside a continuous stream of wireless data in real time, using far fewer computing resources than conventional methods. It helps future radio systems detect signals quickly and efficiently.
Keywords: Zadoff–Chu sequences, FFT-based correlation, streaming detection, FPGA, event-driven processing
Publication date: 23-Nov-2026.
Citation:
J. Matanza, A. Malia, E. Alonso, "Hardware-Efficient Streaming Detection of Zadoff-Chu Sequences Using Multi-FFT Correlation", presented at 7th IEICE-CS International Conference on Emerging Technologies for Communications - IEICE ICETC 2026, Taipéi, Taiwan, 23-25 November 2026
IIT-26-282C
