iWave Systems, a leading FPGA design house based in Bangalore has announced the launch of the ARINC 818-2 high-performance Video Protocol Analyzer for processing and analyzing the ADVB frames generated by any ARINC 818-2 based systems. ARINC 818 Avionics Digital Video Bus (ADVB) is used as a video transport protocol for high bandwidth, low latency, uncompressed digital video transmission (up to 4K) in modern avionics systems.
The VPA is powered by the Xilinx Kintex-7 FPGA module that offers high-density logic, serial connectivity, memory, DSP and much more, providing higher-level system performance and flexibility to meet the evolving needs of ARINC 818-2 applications. Since FPGA can be reprogrammed, new features can constantly be added and fine-tuned to meet specific design requirements.
The ARINC 818-2 Video Protocol Analyser is an excellent troubleshooting tool that helps to quickly detect and rectify errors in the ARINC 818-2 applications, simultaneously ensuring compliance of the system with the ARINC 818-2 standards.
The FPGA logic effectively captures and decodes the incoming ADVB packets. GUI application running on host PC displays the captured sample data for detailed analysis. Key fields covered by the GUI app include saving captured data, opening captured data, trigger data and trigger setup. The application provides elaborate details of all the frames captured during trigger including word offset, each byte, data field, status, container details and container statistics
Key features of ARINC 818-2 Video Protocol Analyzer
- Fully compliant with ARINC 818-2 standards
- Supports FC 1x, FC 2x, FC 3x and FC 4x rates
- Supports progressive video, up to Full HD @ 60fps
- Capture raw data of 2MB Size
Multiple Trigger modes:
- Immediate dummy trigger
- Trigger @ various order set like Sofi/n, IDLE, EOFt/n
- Trigger @ various errors like CRC error/Payload error/SYNC lost error etc…
Read more: IWAVE SYSTEMS LAUNCH HIGH-PERFORMANCE ARINC 818-2 VIDEO PROTOCOL ANALYZER
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Ibrar Ayyub
I am an experienced technical writer with a Master's degree in computer science from BZU Multan University. I have written for various industries, mainly home automation, and engineering. I have a clear and simple writing style and am skilled in using infographics and diagrams. I am a great researcher and is able to present information in a well-organized and logical manner.