DocumentCode
742624
Title
Blind iterative maximum likelihood-based frequency and transition time estimation for frequency hopping systems
Author
Kuo-Ching Fu ; Yung-Fang Chen
Author_Institution
Dept. of Commun. Eng., Nat. Central Univ., Jhongli, Taiwan
Volume
7
Issue
9
fYear
2013
Firstpage
883
Lastpage
892
Abstract
Timing synchronisation and frequency estimation are two major estimation problems for frequency-hopping spread spectrum systems. We present a blind scheme for estimating frequency and transition time in an iterative fashion: the iterative disassemble and assemble algorithm. The proposed scheme does not require initial random guesses as with common iterative algorithms. Improper initial guesses may suffer from the problem of convergence to the local maximum. The proposed approach can converge to the global maximum in order to achieve the solution. The proposed scheme offers a much lower computational complexity than that of the maximum-likelihood greedy search algorithm. Moreover, it also outperforms existing schemes with comparable complexity. The simulation results demonstrate the efficacy of the proposed approach.
Keywords
computational complexity; greedy algorithms; iterative methods; maximum likelihood estimation; search problems; spread spectrum communication; synchronisation; blind iterative maximum likelihood-based frequency; computational complexity; estimation problems; frequency estimation; frequency hopping systems; frequency-hopping spread spectrum; frequency-hopping spread spectrum systems; iterative assemble algorithm; iterative disassemble algorithm; iterative fashion; maximum-likelihood greedy search algorithm; timing synchronisation; transition time estimation;
fLanguage
English
Journal_Title
Communications, IET
Publisher
iet
ISSN
1751-8628
Type
jour
DOI
10.1049/iet-com.2012.0557
Filename
6574960
Link To Document