Please use this identifier to cite or link to this item:
Title: ML-based frequency estimation and synchronization of frequency hopping signals
Authors: Ko, C.C. 
Zhi, W. 
Chin, F.
Keywords: Frequency estimation
Frequency hopping communication
Iterative methods
Maximum likelihood estimation
Issue Date: Feb-2005
Citation: Ko, C.C., Zhi, W., Chin, F. (2005-02). ML-based frequency estimation and synchronization of frequency hopping signals. IEEE Transactions on Signal Processing 53 (2 I) : 403-410. ScholarBank@NUS Repository.
Abstract: A maximum likelihood (ML)-based algorithm for frequency estimation and synchronization of frequency hopping signals is proposed in this paper. By using a two-hop signal model that incorporates the unknown hop transition time, the likelihood function of the received frequency hopping signal is formulated. A new iterative method is then derived to estimate the hopping frequencies and hop transition time. Without using any pilot signal or sync bit, the new algorithm is able to implement synchronization and frequency estimation at the same time. Unlike the time-frequency distribution (TFD) and the wavelet-based algorithms in papers by Barbarossa and Scaglione and by Khalil and Hippenstiel, the new ML algorithm does not require the selection of a kernel or mother wavelet function. In addition, compared with the TFD-based algorithm, it has a better performance with a lower implementation complexity. © 2005 IEEE.
Source Title: IEEE Transactions on Signal Processing
ISSN: 1053587X
DOI: 10.1109/TSP.2004.840703
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.


checked on Mar 20, 2023


checked on Mar 20, 2023

Page view(s)

checked on Mar 16, 2023

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.