{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T06:37:21Z","timestamp":1742971041218,"version":"3.40.3"},"publisher-location":"Cham","reference-count":29,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031505454"},{"type":"electronic","value":"9783031505461"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-50546-1_6","type":"book-chapter","created":{"date-parts":[[2024,3,23]],"date-time":"2024-03-23T20:01:50Z","timestamp":1711224110000},"page":"83-99","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Frequency Offset Estimation of X-band Marine Radar Sampling Signal Based on Phase Difference"],"prefix":"10.1007","author":[{"given":"Jianming","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,3,24]]},"reference":[{"issue":"12","key":"6_CR1","doi-asserted-by":"publisher","first-page":"8949","DOI":"10.1109\/TAP.2021.3096952","volume":"69","author":"M Pehlivan","year":"2021","unstructured":"Pehlivan, M., Yegin, K.: X-band low-probability intercept marine radar antenna design with improved bandwidth and high isolation. IEEE Trans. Antennas Propag. 69(12), 8949\u20138954 (2021)","journal-title":"IEEE Trans. Antennas Propag."},{"key":"6_CR2","unstructured":"Yang, F., Ma, M.: Data transmission delay compensation algorithm for wireless multi-hop communication network. Comput. Simul. 39(4), 146\u2013149, 253 (2022)"},{"issue":"2","key":"6_CR3","first-page":"647","volume":"16","author":"A Ali","year":"2021","unstructured":"Ali, A., Magarini, M., Pirzada, N., et al.: Direction of arrival and least square error technique used in massive MIMO for channel estimation. Int. J. Math. Comput. Sci. 16(2), 647\u2013657 (2021)","journal-title":"Int. J. Math. Comput. Sci."},{"issue":"2","key":"6_CR4","doi-asserted-by":"publisher","first-page":"398","DOI":"10.1364\/AO.445369","volume":"61","author":"K Tajbakhsh","year":"2022","unstructured":"Tajbakhsh, K., Ebrahimi, S., Dashtdar, M.: Low-coherence quantitative differential phase-contrast microscopy using Talbot interferometry. Appl. Opt. 61(2), 398\u2013402 (2022)","journal-title":"Appl. Opt."},{"issue":"5","key":"6_CR5","doi-asserted-by":"publisher","first-page":"1027","DOI":"10.1109\/LWC.2022.3153309","volume":"11","author":"TT Lin","year":"2022","unstructured":"Lin, T.T., Hwang, F.H.: Design of a blind estimation technique of carrier frequency offset for a universal-filtered multi-carrier system over Rayleigh fading. IEEE Wirel. Commun. Lett. 11(5), 1027\u20131031 (2022)","journal-title":"IEEE Wirel. Commun. Lett."},{"issue":"9","key":"6_CR6","doi-asserted-by":"publisher","first-page":"103824","DOI":"10.1016\/j.micpro.2021.103824","volume":"82","author":"C Rajanandhini","year":"2021","unstructured":"Rajanandhini, C., Babu, S.: ICA based estimation and compensation of carrier frequency offset for MBOFDM based UWB systems. Microprocess. Microsyst. 82(9), 103824 (2021)","journal-title":"Microprocess. Microsyst."},{"issue":"2","key":"6_CR7","first-page":"115","volume":"28","author":"LH Yang","year":"2022","unstructured":"Yang, L.H., Zenghao, W., Jie, Z., et al.: Deep learning based Doppler frequency offset estimation for 5G-NR downlink in HSR scenario. High Technol. Lett. 28(2), 115\u2013121 (2022)","journal-title":"High Technol. Lett."},{"key":"6_CR8","doi-asserted-by":"crossref","unstructured":"Liang, Z., Li, Y., Niu, J., et al.: Fast radar detection method based on two-dimensional trilinear autocorrelation function for maneuvering target with jerk motion. J. Appl. Remote Sens. 15(2), 026508-1\u2013026508-15 (2021)","DOI":"10.1117\/1.JRS.15.026508"},{"key":"6_CR9","doi-asserted-by":"crossref","unstructured":"Ikeda, T., Tsuji, T., Konishi, C., et al.: Spatial autocorrelation method for reliable measurements of two-station dispersion curves in heterogeneous ambient noise wavefields. Geophys. J. Int. 226(2), 1130\u20131137 (2021)","DOI":"10.1093\/gji\/ggab150"},{"key":"6_CR10","doi-asserted-by":"crossref","unstructured":"Peng, J., Rajeevan, H., Kubatko, L., et al.: A fast likelihood approach for estimation of large phylogenies from continuous trait data. Mol. Phylogenet. Evol. 161(4), 107142 (2021)","DOI":"10.1016\/j.ympev.2021.107142"},{"key":"6_CR11","doi-asserted-by":"publisher","first-page":"108098","DOI":"10.1016\/j.sigpro.2021.108098","volume":"185","author":"\u00c7 Candan","year":"2021","unstructured":"Candan, \u00c7., \u00c7elebi, U.: Frequency estimation of a single real-valued sinusoid: an invariant function approach. Sig. Process. 185, 108098 (2021)","journal-title":"Sig. Process."},{"key":"6_CR12","unstructured":"Zhang, J.F., Wang, F.Y., Ye, S.U., et al.: Research on power grid primary frequency control ability parallel computing based on multi-source data. Acta Automatica Sinica 48(6), 1493\u20131503 (2022)"},{"key":"6_CR13","doi-asserted-by":"publisher","first-page":"107911","DOI":"10.1016\/j.ymssp.2021.107911","volume":"160","author":"R Li","year":"2021","unstructured":"Li, R., Xuan, J., Shi, T.: Frequency estimation based on symmetric discrete Fourier transform. Mech. Syst. Sig. Process. 160, 107911 (2021)","journal-title":"Mech. Syst. Sig. Process."},{"issue":"10","key":"6_CR14","doi-asserted-by":"publisher","first-page":"1990","DOI":"10.1049\/gtd2.12408","volume":"16","author":"Y Liang","year":"2022","unstructured":"Liang, Y., Zhang, Z., Li, H., et al.: A robust and accurate discrete Fourier transform-based phasor estimation method for frequency domain fault location of power transmission lines. IET Gener. Transm. Distrib. 16(10), 1990\u20132002 (2022)","journal-title":"IET Gener. Transm. Distrib."},{"issue":"5","key":"6_CR15","doi-asserted-by":"publisher","first-page":"050601","DOI":"10.3788\/COL202220.050601","volume":"20","author":"G Chen","year":"2022","unstructured":"Chen, G., et al.: Real-time reception of NHS-OFDM signal with SPA-enhanced channel estimation for intensity-modulated direct-detection systems. Chin. Opt. Lett. 20(5), 050601 (2022)","journal-title":"Chin. Opt. Lett."},{"key":"6_CR16","doi-asserted-by":"publisher","first-page":"113607","DOI":"10.1016\/j.cam.2021.113607","volume":"396","author":"CK Chui","year":"2021","unstructured":"Chui, C.K., Jiang, Q., Li, L., Jian, Lu.: Analysis of an adaptive short-time Fourier transform-based multicomponent signal separation method derived from linear chirp local approximation. J. Comput. Appl. Math. 396, 113607 (2021)","journal-title":"J. Comput. Appl. Math."},{"issue":"12","key":"6_CR17","doi-asserted-by":"publisher","first-page":"8256","DOI":"10.1007\/s00330-022-08876-3","volume":"32","author":"JR Tse","year":"2022","unstructured":"Tse, J.R., Shen, L., Shen, J., et al.: Nyquist sampling theorem and Bosniak classification, version 2019: effect of thin axial sections on categorization and agreement. Eur. Radiol. 32(12), 8256\u20138265 (2022)","journal-title":"Eur. Radiol."},{"key":"6_CR18","doi-asserted-by":"publisher","first-page":"103031","DOI":"10.1016\/j.dsp.2021.103031","volume":"113","author":"B Qi","year":"2021","unstructured":"Qi, B., Zhang, H., Zhang, X.: Time-frequency DOA estimation of chirp signals based on multi-subarray. Digit. Sig. Process. 113, 103031 (2021)","journal-title":"Digit. Sig. Process."},{"issue":"3","key":"6_CR19","doi-asserted-by":"publisher","first-page":"MR117","DOI":"10.1190\/geo2020-0199.1","volume":"86","author":"Hu Qi","year":"2021","unstructured":"Qi, Hu., Keating, S., Innanen, K.A., Chen, H.: Direct updating of rock-physics properties using elastic full-waveform inversion. Geophysics 86(3), MR117\u2013MR132 (2021)","journal-title":"Geophysics"},{"issue":"May","key":"6_CR20","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1016\/j.vlsi.2021.01.005","volume":"78","author":"A Changela","year":"2021","unstructured":"Changela, A., Zaveri, M., Verma, D.: Mixed-radix, virtually scaling-free CORDIC algorithm based rotator for DSP applications. Integration 78(May), 70\u201383 (2021)","journal-title":"Integration"},{"issue":"6","key":"6_CR21","doi-asserted-by":"publisher","first-page":"4111","DOI":"10.5194\/amt-14-4111-2021","volume":"14","author":"M Kiefer","year":"2021","unstructured":"Kiefer, M., et al.: IMK\/IAA MIPAS temperature retrieval version 8: nominal measurements. Atmos. Meas. Techn. 14(6), 4111\u20134138 (2021)","journal-title":"Atmos. Meas. Techn."},{"issue":"9","key":"6_CR22","doi-asserted-by":"publisher","first-page":"988","DOI":"10.1049\/cmu2.12400","volume":"16","author":"SA Hadei","year":"2022","unstructured":"Hadei, S.A., Abolfazl Hosseini, S., Miri, M.: Performance analysis of the low\u2010complexity adaptive channel estimation algorithms over non\u2010stationary multipath Rayleigh fading channels under carrier frequency offsets. IET Commun. 16(9), 988\u20131004 (2022)","journal-title":"IET Commun."},{"issue":"06","key":"6_CR23","doi-asserted-by":"publisher","first-page":"066109-1","DOI":"10.1117\/1.OE.61.6.066109","volume":"61","author":"D Wang","year":"2022","unstructured":"Wang, D., Zhang, S., Liu, J., Yuan, L., Gao, G.: Modified frequency-domain channel-estimation based on the dual-dependent pilots for polarization-division-multiplexed coherent optical orthogonal frequency division multiplexing systems with offset-quadrature-amplitude modulation. Opt. Eng. 61(06), 066109-1\u2013066109-14 (2022)","journal-title":"Opt. Eng."},{"issue":"4","key":"6_CR24","doi-asserted-by":"publisher","first-page":"1249","DOI":"10.3934\/cpaa.2022018","volume":"21","author":"M Nachaoui","year":"2022","unstructured":"Nachaoui, M., Laghrib, A., Afraites, L., et al.: A non-convex non-smooth bi-level parameter learning for impulse and Gaussian noise mixture removing. Commun. Pure Appl. Anal. 21(4), 1249\u20131291 (2022)","journal-title":"Commun. Pure Appl. Anal."},{"issue":"1","key":"6_CR25","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1109\/LWC.2021.3124049","volume":"11","author":"S Jeong","year":"2022","unstructured":"Jeong, S., Farhang, A., Perovic, N.S., Flanagan, M.F.: Low-complexity joint CFO and channel estimation for RIS-aided OFDM systems. IEEE Wirel. Commun. Lett. 11(1), 203\u2013207 (2022)","journal-title":"IEEE Wirel. Commun. Lett."},{"key":"6_CR26","doi-asserted-by":"publisher","first-page":"108209","DOI":"10.1016\/j.sigpro.2021.108209","volume":"188","author":"C Wang","year":"2021","unstructured":"Wang, C., Zhang, X., Li, J.: FDA-MIMO radar for DOD, DOA, and range estimation: SA-MCFO framework and RDMD algorithm. Sig. Process. 188, 108209 (2021)","journal-title":"Sig. Process."},{"issue":"7","key":"6_CR27","doi-asserted-by":"publisher","first-page":"1385","DOI":"10.1049\/gtd2.12375","volume":"16","author":"Q Shi","year":"2022","unstructured":"Shi, Q., Liu, M., Hang, L.: A novel distribution system state estimator based on robust cubature particle filter used for non-gaussian noise and bad data scenarios. IET Gener. Transm. Distrib. 16(7), 1385\u20131399 (2022)","journal-title":"IET Gener. Transm. Distrib."},{"issue":"1","key":"6_CR28","doi-asserted-by":"publisher","first-page":"637","DOI":"10.1016\/j.jfranklin.2021.10.044","volume":"359","author":"YY Wang","year":"2022","unstructured":"Wang, Y.Y., Yang, S.J.: Estimation of carrier frequency offset and channel state information of generalize frequency division multiplexing systems by using a Zadoff-Chu sequence. J. Franklin Inst. 359(1), 637\u2013652 (2022)","journal-title":"J. Franklin Inst."},{"issue":"3","key":"6_CR29","doi-asserted-by":"publisher","first-page":"679","DOI":"10.1177\/0142331220957231","volume":"43","author":"CF Ya\u015far","year":"2021","unstructured":"Ya\u015far, C.F.: Algebraic estimator of Parkinson\u2019s tremor frequency from biased and noisy sinusoidal signals. Trans. Inst. Measure. Control 43(3), 679\u2013686 (2021)","journal-title":"Trans. Inst. Measure. Control"}],"container-title":["Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","Advanced Hybrid Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-50546-1_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,23]],"date-time":"2024-03-23T20:02:52Z","timestamp":1711224172000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-50546-1_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031505454","9783031505461"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-50546-1_6","relation":{},"ISSN":["1867-8211","1867-822X"],"issn-type":[{"type":"print","value":"1867-8211"},{"type":"electronic","value":"1867-822X"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"24 March 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ADHIP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Advanced Hybrid Information Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Harbin","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 September 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 September 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"adhip2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/adhip.eai-conferences.org\/2023\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Open","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Confy plus","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"270","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"109","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"40% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}