23–26 Sept 2025
Festival Tower
Australia/Adelaide timezone

All Contributions

5 out of 30 displayed
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  1. Andrew Lammas (Flinders University)
    23/09/2025, 15:30
    Workshop

    This workshop will introduce GNU Radio Companion (GRC), an easy entry point into the world of GNU Radio. We will explore the fundamentals of the GNU Radio framework, including its modular architecture, signal flow graphs, and integration with popular SDR hardware such as RTL-SDR and USRP. Attendees will gain insight into essential digital signal processing concepts, the flexibility of...

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  2. Derek Kozel (GNU Radio)
    24/09/2025, 15:00
    Workshop

    Use GNU Radio directly in Python or C++ to integrate signal processing into a wider application. We will dive into the runtime scheduler, the internal structure of processing blocks, and how to implement bespoke DSP.

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  3. Ms Dinuli Naotunna (Monash University, Solinnov Pty Ltd)
    25/09/2025, 10:00
    Workshop

    A through-the-wall detection (TTW) detection system using opportunistic WiFi signals in real-world environments is of great interest for non-invasive sensing in security, rescue, and monitoring applications. The existing approaches rely on controlled access points or complex MIMO configurations. To address this, in this paper, a TTW detection system that integrates a highly customized...

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  4. Shengjian Chen (Flinders University)
    25/09/2025, 13:30
    Workshop

    This workshop explores the fundamental characteristics of electromagnetic waves and antennas — frequency, polarization, and propagation loss—using a wireless communication setup built on a Software-Defined Radio (SDR) platform and a selection of antennas with distinct radiation patterns. Participants will gain hands-on experience in measuring and analyzing these properties to understand their...

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  5. Sam Drake (Flinders University)
    25/09/2025, 15:30
    Workshop

    This hands-on workshop explores methods for detecting and verifying spoofed ADS-B transmissions. Participants will use GNU Radio and SDR hardware to analyse real and simulated ADS-B signals, learning how to identify anomalies and assess signal authenticity in aviation surveillance systems.

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