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 :
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