Accession Number:

ADA370497

Title:

Data Compression Project

Descriptive Note:

Final rept. 96-99

Corporate Author:

NAVAL AIR WARFARE CENTER WEAPONS DIV CHINA LAKE CA

Personal Author(s):

Report Date:

1999-10-01

Pagination or Media Count:

413.0

Abstract:

The technical objective of this project has been to develop algorithms for compressing digital data that are compatible with the new generation of smart missiles and that can expand the normal operational role of such weapons to include a means for battle damage indication BDI. A real time BDI system would be an integral and effective tool for adaptive mission planning and retargeting during a strike and for vital imagery required for subsequent rapid retargeting and mission planning. This project has developed the means for compressing video digital data by a large factor from an almost lossless compression ratio of 201 to a highly lossy ratio of 2001. The compression task also includes compatible coding techniques that convert the compressed video images into an embedded bit stream for datalink transmission. An embedded bit stream is an ordered set of bits representing the compressed image as illustrated by Figure 1-1 i.e., the bit stream is organized so that the most important bits can be transmitted first. Such embedded coders have many advantages for EDI applications, including their ability to generate fixed rate bit streams without buffering and their suitability for error prone communications channels. In order to ensure that the reconstructed BDI images meet the accuracy required by a human or computer interpreter, the encoder has been optimized to achieve the lowest bit rates for a wide range of operating conditions. The compression algorithm has also been designed to operate within the context of a proposed operational system, which must be a low cost, missileborne electrooptical EO camera or an infrared IR imaging array transmitting to a ground station via a datalink. The algorithm and its realization in signal processing hardware has been matched to expected datalink bandwidths and transmission speeds in the ear 2000.

Subject Categories:

  • Computer Programming and Software

Distribution Statement:

APPROVED FOR PUBLIC RELEASE