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A Parameter Estimation Algorithm for Multiple Frequency-Hopping Signals Based on Sparse Bayesian Method
Joint Authors
Zhang, Kun-feng
Guo, Ying
Qi, Zisen
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-09-06
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Parameter estimation and network sorting for noncooperative wideband frequency-hopping (FH) signals have been essential and challenging tasks, especially in the case with little or even no prior information at all.
In this paper, we propose a nearly blind estimation approach to estimate signal parameters based on sparse Bayesian reconstruction.
Taking the sparsity in the spatial frequency domain of multiple FH signals into account, we propose a sparse Bayesian algorithm to estimate the spatial frequency parameters.
As a result, the frequency and direction of arrival (DOA) parameters can be obtained.
In order to improve the accuracy of the estimation parameters, we employ morphological filter methods to further clean the data poisoned by the noise.
Moreover, our method is applicable to the wideband signal models with little prior information.
We also conduct extensive numerical simulations to verify the performance of our method.
Notably, the proposed method works well even in low signal-to-noise ratio (SNR) environment.
American Psychological Association (APA)
Zhang, Kun-feng& Guo, Ying& Qi, Zisen. 2017. A Parameter Estimation Algorithm for Multiple Frequency-Hopping Signals Based on Sparse Bayesian Method. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1191240
Modern Language Association (MLA)
Zhang, Kun-feng…[et al.]. A Parameter Estimation Algorithm for Multiple Frequency-Hopping Signals Based on Sparse Bayesian Method. Mathematical Problems in Engineering No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1191240
American Medical Association (AMA)
Zhang, Kun-feng& Guo, Ying& Qi, Zisen. A Parameter Estimation Algorithm for Multiple Frequency-Hopping Signals Based on Sparse Bayesian Method. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1191240
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1191240