DocumentCode
1351695
Title
On Aperiodic-Correlation Bounds
Author
He, Hao ; Stoica, Petre ; Li, Jian
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Florida, Gainesville, FL, USA
Volume
17
Issue
3
fYear
2010
fDate
3/1/2010 12:00:00 AM
Firstpage
253
Lastpage
256
Abstract
We present a new derivation of a lower bound for an aperiodic correlation metric: the integrated sidelobe level (ISL) of a set of sequences under the energy constraint. Sequences (or sequence sets) with low aperiodic correlations are widely demanded in many applications, including radar/sonar range compression, medical imaging, channel estimation and multi-user spread-spectrum communications. While the lower bound has been implicitly discussed in the literature before, here we adopt a different framework to derive the bound. In particular, we make use in the derivation of our recently proposed cyclic algorithm framework, which can also be used to efficiently synthesize unimodular sequences with low correlations. We also show that by relaxing the unimodular constraint, the ISL lower bound can be approached closely.
Keywords
correlation methods; sequences; aperiodic-correlation bounds; channel estimation; cyclic algorithm framework; integrated sidelobe level; medical imaging; multiuser spread-spectrum communications; radar range compression; sonar range compression; unimodular sequence synthesis; Aperiodic correlation; integrated sidelobe level (ISL); lower bound;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/LSP.2009.2038108
Filename
5350742
Link To Document