Priority-based error correction using turbo codes for compressed AIRS data

I. Gladkova; M. Grossberg; E. Grayver; D. Olsen; N. Nalli; W. Wolf; L. Zhou; M. Goldberg

doi:10.1117/12.679851

1 September 2006 Priority-based error correction using turbo codes for compressed AIRS data

I. Gladkova, M. Grossberg, E. Grayver, D. Olsen, N. Nalli, W. Wolf, L. Zhou, M. Goldberg

Proceedings Volume 6300, Satellite Data Compression, Communications, and Archiving II; 630008 (2006) https://doi.org/10.1117/12.679851
Event: SPIE Optics + Photonics, 2006, San Diego, California, United States

Abstract

Errors due to wireless transmission can have an arbitrarily large impact on a compressed file. A single bit error appearing in the compressed file can propagate during a decompression procedure and destroy the entire granule. Such a loss is unacceptable since this data is critical for a range of applications, including weather prediction and emergency response planning. The impact of a bit error in the compressed granule is very sensitive to the error's location in the file. There is a natural hierarchy of compressed data in terms of impact on the final retrieval products. For the considered compression scheme, errors in some parts of the data yield no noticeable degradation in the final products. We formulate a priority scheme for the compressed data and present an error correction approach based on minimizing impact on the retrieval products. Forward error correction codes (e.g., turbo, LDPC) allow the tradeoff between error correction strength and file inflation (bandwidth expansion). We propose segmenting the compressed data based on its priority and applying different-strength FEC codes to different segments. In this paper we demonstrate that this approach can achieve negligible product degradation while maintaining an overall 3-to-1 compression ratio on the final file. We apply this to AIRS sounder data to demonstrate viability for the sounder on the next-generation GOES-R platform.

Citation Download Citation

I. Gladkova, M. Grossberg, E. Grayver, D. Olsen, N. Nalli, W. Wolf, L. Zhou, and M. Goldberg "Priority-based error correction using turbo codes for compressed AIRS data", Proc. SPIE 6300, Satellite Data Compression, Communications, and Archiving II, 630008 (1 September 2006); https://doi.org/10.1117/12.679851

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
12 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Forward error correction

Data modeling

Satellites

Ozone

Data compression

Computer programming

Infrared radiation

Show All Keywords

Keywords/Phrases

Search In:

Publication Years