Off-grid DOA estimation algorithm based on unitary transform and sparse Bayesian learning
A rapid off-grid DOA estimating method of RV-OGSBL was raised based on unitary transformation,against the problem of traditional sparse Bayesian learning (SBL) algorithm in solving effectiveness of signal’s DOA estimation under condition of lower signal noise ratio (SNR).Actual received signal of un...
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| Format: | Article |
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Editorial Department of Journal on Communications
2017-06-01
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| Series: | Tongxin xuebao |
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| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017049/ |
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| author | Yang GAO Jun-li CHEN Guang-li YANG |
| author_facet | Yang GAO Jun-li CHEN Guang-li YANG |
| author_sort | Yang GAO |
| collection | DOAJ |
| description | A rapid off-grid DOA estimating method of RV-OGSBL was raised based on unitary transformation,against the problem of traditional sparse Bayesian learning (SBL) algorithm in solving effectiveness of signal’s DOA estimation under condition of lower signal noise ratio (SNR).Actual received signal of uniform linear array was generated through constructing augment matrix as the processing signal used by DOA estimation.Then,estimation model was transformed from complex value to real value by using unitary transformation.In the next step,off-grid model and sparse Bayesian learning algorithm were combined together to process the realization of DOA estimation iteratively.The accuracy of estimation could made relatively high.The simulation result demonstrates that the RV-OGSBL method not only maintains the performance of traditional SBL algorithm,but also reduces the computational complexity significantly.Under the situation of lower signal noise ratio (SNR) and low number of snapshots,the running time of algorithm is reduced about 50%.This shows the RV-OGSBL method is a rapid DOA estimation algorithm. |
| format | Article |
| id | doaj-art-59da73605c474e5d87dd16da3b41321f |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2017-06-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-59da73605c474e5d87dd16da3b41321f2025-01-14T07:12:17ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2017-06-013817718259709958Off-grid DOA estimation algorithm based on unitary transform and sparse Bayesian learningYang GAOJun-li CHENGuang-li YANGA rapid off-grid DOA estimating method of RV-OGSBL was raised based on unitary transformation,against the problem of traditional sparse Bayesian learning (SBL) algorithm in solving effectiveness of signal’s DOA estimation under condition of lower signal noise ratio (SNR).Actual received signal of uniform linear array was generated through constructing augment matrix as the processing signal used by DOA estimation.Then,estimation model was transformed from complex value to real value by using unitary transformation.In the next step,off-grid model and sparse Bayesian learning algorithm were combined together to process the realization of DOA estimation iteratively.The accuracy of estimation could made relatively high.The simulation result demonstrates that the RV-OGSBL method not only maintains the performance of traditional SBL algorithm,but also reduces the computational complexity significantly.Under the situation of lower signal noise ratio (SNR) and low number of snapshots,the running time of algorithm is reduced about 50%.This shows the RV-OGSBL method is a rapid DOA estimation algorithm.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017049/direction of arrival estimationunitary transformsingular value decompositionoff-grid modelsparse Bayesian learning |
| spellingShingle | Yang GAO Jun-li CHEN Guang-li YANG Off-grid DOA estimation algorithm based on unitary transform and sparse Bayesian learning Tongxin xuebao direction of arrival estimation unitary transform singular value decomposition off-grid model sparse Bayesian learning |
| title | Off-grid DOA estimation algorithm based on unitary transform and sparse Bayesian learning |
| title_full | Off-grid DOA estimation algorithm based on unitary transform and sparse Bayesian learning |
| title_fullStr | Off-grid DOA estimation algorithm based on unitary transform and sparse Bayesian learning |
| title_full_unstemmed | Off-grid DOA estimation algorithm based on unitary transform and sparse Bayesian learning |
| title_short | Off-grid DOA estimation algorithm based on unitary transform and sparse Bayesian learning |
| title_sort | off grid doa estimation algorithm based on unitary transform and sparse bayesian learning |
| topic | direction of arrival estimation unitary transform singular value decomposition off-grid model sparse Bayesian learning |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017049/ |
| work_keys_str_mv | AT yanggao offgriddoaestimationalgorithmbasedonunitarytransformandsparsebayesianlearning AT junlichen offgriddoaestimationalgorithmbasedonunitarytransformandsparsebayesianlearning AT guangliyang offgriddoaestimationalgorithmbasedonunitarytransformandsparsebayesianlearning |