Asymptotically Locally Optimal Weight Vector Design for a Tighter Correlation Lower Bound of Quasi-Complementary Sequence Sets
- Submitting institution
-
The University of Essex
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1407
- Type
- D - Journal article
- DOI
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10.1109/tsp.2017.2684740
- Title of journal
- IEEE Transactions on Signal Processing
- Article number
- -
- First page
- 3107
- Volume
- 65
- Issue
- 12
- ISSN
- 1053-587X
- Open access status
- Deposit exception
- Month of publication
- March
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
2
- Research group(s)
-
C - Communications and Networking (Comms)
- Citation count
- 8
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Published in IEEE-TSP, the most-prestigious journal in the field of Signal Processing, this paper studies the tightening of the generalized Levenshtein bound(GLB) for quasi-complementary sequence sets which have numerous applications in wireless communications. The tightening of GLB has been pursued by many researchers not just because the non-convex GLB problem itself is challenging, but also it provides an understanding of how far we have improved the celebrated Welch bound. For the first time, we develop an efficient frequency-domain approach which can analytically tighten the GLB for all the possible regions. Significantly, this worked enable greater confidence in optimal system design.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -