By Topic

Frequency sequence estimation based on Hidden Markov Model for differential frequency hopping

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Zhang Yi ; Nanjing Telecommunication Technology Institute, Nanjing, China ; Yao Fu-qiang

As a frequency hopping communication system with memory, the Hidden Markov Model (HMM) of differential frequency hopping (DFH) is presented firstly, then a frequency sequence estimation algorithm based on minimum sequence error (MSE) criteria is proposed, in order to evaluate the algorithm, we compare this frequency sequence estimation method with traditional hop-by-hop frequency estimation by numerical simulating. The simulation results show that compared to hop-by-hop frequency estimation, this algorithm can effectively reduce the illegal frequency transfer states through maximum-likelihood searching, which can improve the performance of DFH effectively.

Published in:


Date of Conference:

24-28 Oct. 2010