{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,14]],"date-time":"2025-10-14T07:17:54Z","timestamp":1760426274439,"version":"3.37.0"},"reference-count":22,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2025,1,28]],"date-time":"2025-01-28T00:00:00Z","timestamp":1738022400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,28]],"date-time":"2025-01-28T00:00:00Z","timestamp":1738022400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SIViP"],"published-print":{"date-parts":[[2025,3]]},"DOI":"10.1007\/s11760-025-03817-1","type":"journal-article","created":{"date-parts":[[2025,1,28]],"date-time":"2025-01-28T18:48:19Z","timestamp":1738090099000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Optimization algorithm for DOA estimation accuracy of coherent signal sources based on sparse Bayesian theory"],"prefix":"10.1007","volume":"19","author":[{"given":"Zhuqing","family":"Mei","sequence":"first","affiliation":[]},{"given":"Xue","family":"Li","sequence":"additional","affiliation":[]},{"given":"Hengfeng","family":"Li","sequence":"additional","affiliation":[]},{"given":"Shuoyang","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Yu","family":"Zheng","sequence":"additional","affiliation":[]},{"given":"Tian","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Zhongsen","family":"Sun","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,1,28]]},"reference":[{"key":"3817_CR1","doi-asserted-by":"publisher","first-page":"109848","DOI":"10.1016\/j.apacoust.2023.109848","volume":"217","author":"W Wang","year":"2024","unstructured":"Wang, W., Li, Y., Shen, T., et al.: An effective DOA estimation method for low SIR in small-size hydrophone array. Appl. Acoust. 217, 109848 (2024)","journal-title":"Appl. Acoust."},{"key":"3817_CR2","doi-asserted-by":"publisher","first-page":"9320","DOI":"10.3390\/s23239320","volume":"23","author":"F Zhang","year":"2023","unstructured":"Zhang, F., Cao, H., Wang, K.: Coherent DOA estimation algorithm with co-prime arrays for low SNR signals. Sensors 23, 9320 (2023)","journal-title":"Sensors"},{"key":"3817_CR3","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1016\/j.dsp.2019.07.014","volume":"94","author":"B Liu","year":"2019","unstructured":"Liu, B., Gui, G., Matsushita, S., et al.: Adaptive filtering algorithm for direction-of-arrival (DOA) estimation with small snapshots. Digit. Signal Process. 94, 84 (2019)","journal-title":"Digit. Signal Process."},{"key":"3817_CR4","doi-asserted-by":"publisher","first-page":"429","DOI":"10.1049\/iet-spr.2016.0246","volume":"11","author":"A Mahnaz","year":"2017","unstructured":"Mahnaz, A., Sedigheh, P.: M\u21131,2 -MUSIC algorithm for DOA estimation of coherent sources. IET Signal Process. 11, 429 (2017)","journal-title":"IET Signal Process."},{"key":"3817_CR5","doi-asserted-by":"publisher","first-page":"339","DOI":"10.1109\/LCOMM.2019.2953851","volume":"24","author":"W Zhang","year":"2020","unstructured":"Zhang, W., Han, Y., Jin, M., Li, X.: An improved ESPRIT-like algorithm for coherent signals DOA estimation. IEEE Commun. Lett. 24, 339 (2020)","journal-title":"IEEE Commun. Lett."},{"key":"3817_CR6","doi-asserted-by":"publisher","first-page":"1634","DOI":"10.1109\/LSP.2022.3190768","volume":"29","author":"H Zheng","year":"2022","unstructured":"Zheng, H., Zhou, C., Shi, Z., Gu, Y.: Structured tensor reconstruction for coherent DOA estimation. IEEE Signal Process. Lett. 29, 1634 (2022)","journal-title":"IEEE Signal Process. Lett."},{"key":"3817_CR7","doi-asserted-by":"publisher","unstructured":"He, W., Zhou, Q., Zhang, X., et al.: Research on direction finding of UAV coherent signals based on uniform circular array. In: 2022 18th International Conference on Computational Intelligence and Security, pp. 445\u2013447. CIS, Chengdu, China (2022). https:\/\/doi.org\/10.1109\/CIS58238.2022.00100","DOI":"10.1109\/CIS58238.2022.00100"},{"key":"3817_CR8","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1016\/j.sigpro.2016.06.002","volume":"129","author":"Y Wang","year":"2016","unstructured":"Wang, Y., Yang, M., Chen, B., et al.: Improved DOA estimation based on real-valued array covariance using sparse Bayesian learning. Signal Process. 129, 183 (2016)","journal-title":"Signal Process."},{"key":"3817_CR9","doi-asserted-by":"publisher","first-page":"1469","DOI":"10.1109\/LSP.2016.2598550","volume":"23","author":"P Gerstoft","year":"2016","unstructured":"Gerstoft, P., Mecklenbr\u00e4uker, F., Xenaki, A., et al.: Multisnapshot sparse Bayesian learning for DOA. IEEE Signal Process. Lett. 23, 1469 (2016)","journal-title":"IEEE Signal Process. Lett."},{"key":"3817_CR10","doi-asserted-by":"publisher","first-page":"18075","DOI":"10.1109\/ACCESS.2017.2747153","volume":"5","author":"D Anup","year":"2017","unstructured":"Anup, D.: Theoretical and experimental comparison of off-grid sparse Bayesian direction-of-arrival estimation algorithms. IEEE Access 5, 18075 (2017)","journal-title":"IEEE Access"},{"key":"3817_CR11","doi-asserted-by":"publisher","first-page":"3010","DOI":"10.1109\/TSP.2005.850882","volume":"53","author":"D Malioutov","year":"2005","unstructured":"Malioutov, D., Cetin, M., Willsky, S.A.: A sparse signal reconstruction perspective for source localization with sensor arrays. IEEE Trans. Signal Process. 53, 3010 (2005)","journal-title":"IEEE Trans. Signal Process."},{"key":"3817_CR12","doi-asserted-by":"publisher","first-page":"4658","DOI":"10.1109\/TSP.2012.2201152","volume":"60","author":"Z Yang","year":"2012","unstructured":"Yang, Z., Zhang, C., Xie, L.: Robustly stable signal recovery in compressed sensing with structured matrix perturbation. IEEE Trans. Signal Process. 60, 4658 (2012)","journal-title":"IEEE Trans. Signal Process."},{"key":"3817_CR13","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1109\/TSP.2012.2222378","volume":"61","author":"Z Yang","year":"2013","unstructured":"Yang, Z., Xie, L., Zhang, C.: Off-grid direction of arrival estimation using sparse Bayesian inference. IEEE Trans. Signal Process. 61, 38 (2013)","journal-title":"IEEE Trans. Signal Process."},{"key":"3817_CR14","doi-asserted-by":"publisher","first-page":"4997","DOI":"10.1109\/TSP.2014.2343940","volume":"62","author":"Z Tan","year":"2014","unstructured":"Tan, Z., Yang, P., Nehorai, A.: Joint sparse recovery method for compressed sensing with structured dictionary mismatches. IEEE Trans. Signal Process. 62, 4997 (2014)","journal-title":"IEEE Trans. Signal Process."},{"key":"3817_CR15","doi-asserted-by":"publisher","first-page":"16293","DOI":"10.1109\/TVT.2023.3298965","volume":"72","author":"H Fu","year":"2023","unstructured":"Fu, H., Dai, F., Hong, L.: Off-grid error calibration for DOA estimation based on sparse Bayesian learning. IEEE Trans. Veh. Technol. 72, 16293 (2023)","journal-title":"IEEE Trans. Veh. Technol."},{"key":"3817_CR16","doi-asserted-by":"publisher","first-page":"108719","DOI":"10.1016\/j.apacoust.2022.108719","volume":"192","author":"G Liang","year":"2022","unstructured":"Liang, G., Li, C., Qiu, L., et al.: State-updating-based DOA estimation using sparse Bayesian learning. Appl. Acoust. 192, 108719 (2022)","journal-title":"Appl. Acoust."},{"key":"3817_CR17","doi-asserted-by":"publisher","first-page":"7951","DOI":"10.1109\/TAES.2023.3298757","volume":"59","author":"C Lu","year":"2023","unstructured":"Lu, C., Zheng, J., Yang, T., et al.: DOA estimation based on coherent integration-sparse Bayesian learning with time-variant gain-phase errors. IEEE Trans. Aerosp. Electron. Syst. 59, 7951 (2023)","journal-title":"IEEE Trans. Aerosp. Electron. Syst."},{"key":"3817_CR18","doi-asserted-by":"publisher","first-page":"4378","DOI":"10.1007\/s00034-020-01372-3","volume":"39","author":"P Zhao","year":"2020","unstructured":"Zhao, P., Hu, G., Zhou, H.: An off-grid block-sparse Bayesian method for direction of arrival and polarization estimation. Circuits Syst. Signal Process. 39, 4378 (2020)","journal-title":"Circuits Syst. Signal Process."},{"key":"3817_CR19","doi-asserted-by":"publisher","first-page":"995","DOI":"10.1109\/TSP.2015.2493987","volume":"64","author":"Z Yang","year":"2016","unstructured":"Yang, Z., Xie, L.: Enhancing sparsity and resolution via reweighted atomic norm minimization. IEEE Trans. Signal Process. 64, 995 (2016)","journal-title":"IEEE Trans. Signal Process."},{"key":"3817_CR20","doi-asserted-by":"publisher","first-page":"744","DOI":"10.1109\/TSP.2017.2773420","volume":"66","author":"J Dai","year":"2018","unstructured":"Dai, J., So, H.: Sparse Bayesian learning approach for outlier-resistant direction-of-arrival estimation. IEEE Trans. Signal Process. 66, 744 (2018)","journal-title":"IEEE Trans. Signal Process."},{"key":"3817_CR21","doi-asserted-by":"publisher","first-page":"425","DOI":"10.1109\/TAES.2010.5417172","volume":"46","author":"T Yardibi","year":"2010","unstructured":"Yardibi, T., Li, J., Stoica, P., et al.: Source localization and sensing: a nonparametric iterative adaptive approach based on weighted least squares. IEEE Trans. Aerosp. Electron. Syst. 46, 425 (2010)","journal-title":"IEEE Trans. Aerosp. Electron. Syst."},{"key":"3817_CR22","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1007\/s11045-021-00797-6","volume":"33","author":"W Wang","year":"2022","unstructured":"Wang, W., Tan, W., et al.: Direction finding based on iterative adaptive approach utilizing weighted \u21132 -norm penalty for acoustic vector sensor array. Multidim. Syst. Sign. Process. 33, 247 (2022)","journal-title":"Multidim. Syst. Sign. Process."}],"container-title":["Signal, Image and Video Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-025-03817-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11760-025-03817-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-025-03817-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,13]],"date-time":"2025-02-13T14:46:05Z","timestamp":1739457965000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11760-025-03817-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1,28]]},"references-count":22,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2025,3]]}},"alternative-id":["3817"],"URL":"https:\/\/doi.org\/10.1007\/s11760-025-03817-1","relation":{},"ISSN":["1863-1703","1863-1711"],"issn-type":[{"type":"print","value":"1863-1703"},{"type":"electronic","value":"1863-1711"}],"subject":[],"published":{"date-parts":[[2025,1,28]]},"assertion":[{"value":"27 September 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 November 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 January 2025","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 January 2025","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}}],"article-number":"249"}}