DocumentCode
3435300
Title
On Sequences with Good Correlation Properties: A New Perspective
Author
Stoica, Petre ; Li, Jian ; Xue, Ming
Author_Institution
Uppsala Univ., Uppsala
fYear
2007
fDate
1-6 July 2007
Firstpage
1
Lastpage
5
Abstract
The so-called merit factor approach (MFA) to radar binary sequence design has led to several theoretical contributions in fairly diverse research areas including information theory, computer science, combinatorial optimization, and analytical number theory. However, the pragmatic motivation of this approach is shown here to be questionable. Specifically, the MFA -which basically aims at minimizing the clutter effect on radar performance -implicitly assumes the use of a least-squares (LS) receiver that is optimal only when there is no clutter. This apparent inconsistency in the problem formulation can be eliminated by using a more general optimal instrumental-variables (IV) receiver in lieu of the LS receiver. The IV receiver proposed here is shown to reject clutter much more efficiently than the LS receiver. Additionally, the binary sequence design problem associated with the IV receiver is shown to have an interesting form that is likely to attract the attention of the readers previously interested in the MFA.
Keywords
binary sequences; least squares approximations; radar clutter; radar receivers; binary sequence design; clutter effect; correlation properties; least-squares receiver; merit factor approach; optimal instrumental-variables receiver; radar design; Autocorrelation; Binary sequences; Clutter; Computer science; Information theory; Instruments; Pulse modulation; Radar cross section; Radar theory; Signal resolution; Signal-to-clutter ratio; instrumental variables; radar receiver design;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory for Wireless Networks, 2007 IEEE Information Theory Workshop on
Conference_Location
Solstrand
Print_ISBN
978-1-4244-1200-6
Electronic_ISBN
978-1-4244-1200-6
Type
conf
DOI
10.1109/ITWITWN.2007.4318030
Filename
4318030
Link To Document