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This paper presents the design and implementation of a flexible, cost-effective system for receiving and analyzing ISDB-T signals using Software Defined Radio (SDR) technology. The system, which is highly adaptable, leverages the ADALM-PLUTO transceiver, providing an adequate frequency range and sampling rate, interfacing with a computer for signal processing via GNU Radio’s block-based architecture. A custom analysis block was developed in Python to extract and interpret essential Transport Stream (TS) tables, including PAT, PMT, NIT, and SDT, enabling both real-time and post-reception analysis. The results demonstrate that the system effectively processes and examines digital television signals, offering a detailed and accurate assessment of broadcast metadata. This work contributes to the field by providing a low-cost, highly adaptable solution for ISDB-T signal analysis, validating its performance through comparisons with commercial analyzers. Additionally, it underscores the potential of SDR-based solutions for future applications in digital television broadcasting and signal monitoring.

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Innovative Design and Implementation of a Low-Cost ISDB-T Receiver and Transport Stream Analyzer Using Software-Defined Radio Technology

  • 会议论文

  • 发表日期：

    2026年

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  • Gonzalo Olmedo,
  • Deyder Montiel,
  • Nelson Benavides

摘要

This paper presents the design and implementation of a flexible, cost-effective system for receiving and analyzing ISDB-T signals using Software Defined Radio (SDR) technology. The system, which is highly adaptable, leverages the ADALM-PLUTO transceiver, providing an adequate frequency range and sampling rate, interfacing with a computer for signal processing via GNU Radio’s block-based architecture. A custom analysis block was developed in Python to extract and interpret essential Transport Stream (TS) tables, including PAT, PMT, NIT, and SDT, enabling both real-time and post-reception analysis. The results demonstrate that the system effectively processes and examines digital television signals, offering a detailed and accurate assessment of broadcast metadata. This work contributes to the field by providing a low-cost, highly adaptable solution for ISDB-T signal analysis, validating its performance through comparisons with commercial analyzers. Additionally, it underscores the potential of SDR-based solutions for future applications in digital television broadcasting and signal monitoring.