Change search
ReferencesLink to record
Permanent link

Direct link
Model order selection for multidimensional innovations based detection in airborne radar
New Mexico State University.
1998 (English)In: Challenges in radar systems and solutions: proceedings of the 1998 IEEE Radar Conference, Dallas, Texas, May 11 - 14, 1998 / [ed] Scott Ramey, Piscataway, NJ: IEEE Communications Society, 1998, 141-146 p.Conference paper (Refereed)
Abstract [en]

This paper investigates the model order selection problem for use with the multidimensional autoregressive (MAR) process in airborne radar detection processing which uses an innovations based detection algorithm (IBDA). Results indicate that a low order model should be used to accurately portray the return signal spectrum. Specifically, this paper investigates the use of the Akaike (1971) information criterion for model order selection. Examples are included for physically modeled data sets as well as actual radar data sets

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 1998. 141-146 p.
Research subject
Signal Processing
URN: urn:nbn:se:ltu:diva-35215DOI: 10.1109/NRC.1998.677991Local ID: 9a7f4680-9e7b-11db-8975-000ea68e967bISBN: 0-7803-4492-8OAI: diva2:1008467
IEEE National Radar Conference : 11/05/1998 - 14/05/1998
Uppr├Ąttat; 1998; 20070107 (ysko)Available from: 2016-09-30 Created: 2016-09-30

Open Access in DiVA

fulltext(139 kB)4 downloads
File information
File name FULLTEXT01.pdfFile size 139 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Search in DiVA

By author/editor
Leblanc, James

Search outside of DiVA

GoogleGoogle Scholar
Total: 4 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 1 hits
ReferencesLink to record
Permanent link

Direct link