吉林大学学报(工学版) ›› 2015, Vol. 45 ›› Issue (6): 2056-2061.doi: 10.13229/j.cnki.jdxbgxb201506046

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Robust tracking method for multiple frequency-hopping signals

SHANG Jia-dong, WANG Zu-lin, ZHOU Li-na, YANG Lan   

  1. School of Electronic and Information Engineering, Beihang University, Beijing 100191, China
  • Received:2014-03-28 Online:2015-11-01 Published:2015-11-01

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Abstract: A robust tracking method for multiple frequency-hopping signals is presented. First, the measurement noise is modeled using the t distribution. Then, a novel Bayesian probability model is proposed to describe the multiple Frequency-Hopping (FH) signals tracking problem, such that the influence of the impulsive noise on the tracking performance can be attenuated efficiently. Finally, a Multiple Variational Sparse Bayesian Learning (M-VSBL) algorithm is derived for the proposed Bayesian model to estimate the hopping frequencies, directions of arrival and detect the hopping times. Simulation results demonstrate the robustness and accuracy of the proposed method under impulsive noise.

Key words: information processing, frequency-hopping signals tracking, impulsive noise, t distribution, variational Bayesian learning

CLC Number: 

  • TN911.72
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