Live Virtual Constructive (LVC) training systems will need to use Radio Frequency (RF) networks that have significantly less bandwidth than existing wired Local Area Networks. One way to pass more simulation data over such networks or buses with limited bandwidth is to incorporate compression and state management techniques. AFRL developed a compressed DIS (C-DIS) data standard for the Secure Live Virtual Constructive Advanced Training Environment (SLATE). In Feb 2019 it was proposed to SISO to develop a more general C-DIS Standard. SISO formed a Product Development Group which spent a year reviewing the C-DIS V1.2 standard and making updates and improvements, and has completed this work.
The SISO Compressed DIS Standard will be balloted for approval in 2021. This paper will review the compression techniques used by the new SISO C-DIS standard and how it is different from the original C-DIS V1.2 standard including a technique adopted from Google. It will also review the compression performance of this version compared to C-DIS V1.2 on several unclassified data sets as well as the Secure Live Virtual Constructive Advanced Training Environment (SLATE) demonstration data.
This paper will provide a good technical basis for evaluation of C-DIS compression and the applicability of C-DIS to potential use cases. It will show how compression ratios of over 6:1 are possible while using less than 1% of the CPU to perform the encoding and decoding.