Frequency-Hopping Signal Parameters Estimation Based on Orthogonal Matching Pursuit and Sparse Linear Regression
This paper addresses the problem of estimating frequency hopping (FH) signals parameters with the single array. The existing optimization algorithms are with unrealistic computational burden. In order to reduce the computation burden, a novel method, based on orthogonal matching pursuit and sparse l...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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IEEE
2018-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8472817/ |
| _version_ | 1818558539757518848 |
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| author | Yu Wang Chaozhu Zhang Fulong Jing |
| author_facet | Yu Wang Chaozhu Zhang Fulong Jing |
| author_sort | Yu Wang |
| collection | DOAJ |
| description | This paper addresses the problem of estimating frequency hopping (FH) signals parameters with the single array. The existing optimization algorithms are with unrealistic computational burden. In order to reduce the computation burden, a novel method, based on orthogonal matching pursuit and sparse linear regression (OSLR), is proposed in this paper. The OSLR method consists of two steps. First, by segmenting the received signals into several measurements, orthogonal matching pursuit is used to detect whether the segments include hop timings or not. Second, sparse linear regression is used to estimate the spectrogram of FH signals for the segmentations with hop timings. Numerical simulations demonstrate that the OSLR method can achieve superior performance, and the OSLR method can be exploited to deal with underdetermined blind source separation problem of FH signals. |
| first_indexed | 2024-12-14T00:13:45Z |
| format | Article |
| id | doaj.art-6773a908c1154041867667eabd45e512 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-14T00:13:45Z |
| publishDate | 2018-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-6773a908c1154041867667eabd45e5122022-12-21T23:25:38ZengIEEEIEEE Access2169-35362018-01-016543105431910.1109/ACCESS.2018.28717238472817Frequency-Hopping Signal Parameters Estimation Based on Orthogonal Matching Pursuit and Sparse Linear RegressionYu Wang0https://orcid.org/0000-0001-5200-0238Chaozhu Zhang1Fulong Jing2https://orcid.org/0000-0001-9830-1917College of Information and Communication Engineering, Harbin Engineering University, Harbin, ChinaCollege of Information and Communication Engineering, Harbin Engineering University, Harbin, ChinaCollege of Information and Communication Engineering, Harbin Engineering University, Harbin, ChinaThis paper addresses the problem of estimating frequency hopping (FH) signals parameters with the single array. The existing optimization algorithms are with unrealistic computational burden. In order to reduce the computation burden, a novel method, based on orthogonal matching pursuit and sparse linear regression (OSLR), is proposed in this paper. The OSLR method consists of two steps. First, by segmenting the received signals into several measurements, orthogonal matching pursuit is used to detect whether the segments include hop timings or not. Second, sparse linear regression is used to estimate the spectrogram of FH signals for the segmentations with hop timings. Numerical simulations demonstrate that the OSLR method can achieve superior performance, and the OSLR method can be exploited to deal with underdetermined blind source separation problem of FH signals.https://ieeexplore.ieee.org/document/8472817/Frequency hopping signalsorthogonal matching pursuitsparse linear regressionspectrogram |
| spellingShingle | Yu Wang Chaozhu Zhang Fulong Jing Frequency-Hopping Signal Parameters Estimation Based on Orthogonal Matching Pursuit and Sparse Linear Regression IEEE Access Frequency hopping signals orthogonal matching pursuit sparse linear regression spectrogram |
| title | Frequency-Hopping Signal Parameters Estimation Based on Orthogonal Matching Pursuit and Sparse Linear Regression |
| title_full | Frequency-Hopping Signal Parameters Estimation Based on Orthogonal Matching Pursuit and Sparse Linear Regression |
| title_fullStr | Frequency-Hopping Signal Parameters Estimation Based on Orthogonal Matching Pursuit and Sparse Linear Regression |
| title_full_unstemmed | Frequency-Hopping Signal Parameters Estimation Based on Orthogonal Matching Pursuit and Sparse Linear Regression |
| title_short | Frequency-Hopping Signal Parameters Estimation Based on Orthogonal Matching Pursuit and Sparse Linear Regression |
| title_sort | frequency hopping signal parameters estimation based on orthogonal matching pursuit and sparse linear regression |
| topic | Frequency hopping signals orthogonal matching pursuit sparse linear regression spectrogram |
| url | https://ieeexplore.ieee.org/document/8472817/ |
| work_keys_str_mv | AT yuwang frequencyhoppingsignalparametersestimationbasedonorthogonalmatchingpursuitandsparselinearregression AT chaozhuzhang frequencyhoppingsignalparametersestimationbasedonorthogonalmatchingpursuitandsparselinearregression AT fulongjing frequencyhoppingsignalparametersestimationbasedonorthogonalmatchingpursuitandsparselinearregression |