{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,6,18]],"date-time":"2024-06-18T16:42:47Z","timestamp":1718728967676},"reference-count":44,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Commun."],"published-print":{"date-parts":[[2016]]},"DOI":"10.1587\/transcom.2015ccp0009","type":"journal-article","created":{"date-parts":[[2016,7,31]],"date-time":"2016-07-31T22:05:47Z","timestamp":1470002747000},"page":"1655-1668","source":"Crossref","is-referenced-by-count":0,"title":["Real-Time Joint Channel and Hyperparameter Estimation Using Sequential Monte Carlo Methods for OFDM Mobile Communications"],"prefix":"10.23919","volume":"E99.B","author":[{"given":"Junichiro","family":"HAGIWARA","sequence":"first","affiliation":[{"name":"Radio Access Network Development Department, NTT DOCOMO, INC."}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"1","doi-asserted-by":"crossref","unstructured":"[1] Y.R. Zheng and C. Xiao, \u201cMobile speed estimation for broadband wireless communications over Rician fading channels,\u201d IEEE Trans. Wireless Commun., vol.8, no.1, pp.1-5, Jan. 2009.","DOI":"10.1109\/T-WC.2009.070140"},{"key":"2","doi-asserted-by":"crossref","unstructured":"[2] W. Zhou and W.H. Lam, \u201cA novel method of Doppler shift estimation for OFDM systems,\u201d Proc. 2008 IEEE Military Communications Conference, MILCOM 2008, pp.1-7, 2008.","DOI":"10.1109\/MILCOM.2008.4753538"},{"key":"3","doi-asserted-by":"crossref","unstructured":"[3] J. Hagiwara, \u201cAn OFDM channel estimation method based on a state-space model that appropriately considers frequency correlation,\u201d IEICE Trans. Fundamentals, vol.E98-A, no.2, pp.537-548, Feb. 2015.","DOI":"10.1587\/transfun.E98.A.537"},{"key":"4","doi-asserted-by":"crossref","unstructured":"[4] Y. Huang, P.M. Djuric, and J. Zhang, \u201cJoint velocity estimation and symbol detection in non-stationary fading channels by particle filtering,\u201d Proc. IEEE Global Telecommunications Conference, GLOBECOM&apos;03, pp.2269-2273, 2003.","DOI":"10.1109\/GLOCOM.2003.1258639"},{"key":"5","doi-asserted-by":"crossref","unstructured":"[5] C. Nemeth, P. Fearnhead, and L. Mihaylova, \u201cSequential Monte Carlo methods for state and parameter estimation in abruptly changing environments,\u201d IEEE Trans. Signal Process., vol.62, no.5, pp.1245-1255, March 2014.","DOI":"10.1109\/TSP.2013.2296278"},{"key":"6","doi-asserted-by":"crossref","unstructured":"[6] J. Liu and M. West, \u201cCombined parameter and state estimation in simulation-based filtering,\u201d in Sequential Monte Carlo Methods in Practice, pp.197-223, Springer, 2001.","DOI":"10.1007\/978-1-4757-3437-9_10"},{"key":"7","unstructured":"[7] C.M. Bishop, Pattern Recognition and Machine Learning, Springer, 2006."},{"key":"8","doi-asserted-by":"crossref","unstructured":"[8] O. Simeone, Y. Bar-Ness, and U. Spagnolini, \u201cPilot-based channel estimation for OFDM systems by tracking the delay-subspace,\u201d IEEE Trans. Wireless Commun., vol.3, no.1, pp.315-325, Jan. 2004.","DOI":"10.1109\/TWC.2003.819022"},{"key":"9","doi-asserted-by":"crossref","unstructured":"[9] P. Bello, \u201cCharacterization of randomly time-variant linear channels,\u201d IEEE Trans. Commun., vol.11, no.4, pp.360-393, Dec. 1963.","DOI":"10.1109\/TCOM.1963.1088793"},{"key":"10","unstructured":"[10] Y. Karasawa, Radiowave Propagation Fundamentals for Digital Mobile Communications, Corona Publishing, 2003. (in Japanese)"},{"key":"11","unstructured":"[11] H. Iwai, Radio Propagation in Mobile Communications \u2014 Fundamental Knowledge for Simulations Analysis of Wireless Communications \u2014 , Corona Publishing, 2012. (in Japanese)"},{"key":"12","unstructured":"[12] W.C. Jakes, Jr., Microwave Mobile Communications, Wiley, New York, 1974. (reprinted by IEEE Press)"},{"key":"13","unstructured":"[13] D. Larsson, Analysis of channel estimation methods for OFDMA, Master&apos;s thesis, Royal Institute of Technology (KTH), Stockholm, Sweden, Dec. 2006."},{"key":"14","doi-asserted-by":"crossref","unstructured":"[14] A. Goldsmith, Wireless Communications, Cambridge University Press, 2005.","DOI":"10.1017\/CBO9780511841224"},{"key":"15","doi-asserted-by":"crossref","unstructured":"[15] L. Hanzo, M. M\u00fcnster, B. Choi, and T. Keller, OFDM and MC-CDMA for Broadband Multi-User Communications, WLANs and Broadcasting, John Wiley &amp; Sons, 2003.","DOI":"10.1002\/9780470861813"},{"key":"16","doi-asserted-by":"crossref","unstructured":"[16] M.K. Ozdemir and H. Arslan, \u201cChannel estimation for wireless OFDM systems,\u201d IEEE Commun. Surv. Tutorials, vol.9, no.2, pp.18-48, April 2007.","DOI":"10.1109\/COMST.2007.382406"},{"key":"17","doi-asserted-by":"crossref","unstructured":"[17] R.E. Kalman, \u201cA new approach to linear filtering and prediction problems,\u201d J. Basic Eng-T. ASME., vol.82, no.1, pp.35-45, March 1960.","DOI":"10.1115\/1.3662552"},{"key":"18","unstructured":"[18] Evolved Universal Terrestrial Radio Access (E-UTRA); Physical channels and modulation, TS 36.211, 3rd Generation Partnership Project (3GPP), Dec. 2009."},{"key":"19","unstructured":"[19] L. Wang, G. Libert, and P. Manneback, \u201cKalman filter algorithm based on singular value decomposition,\u201d Proc. 31st IEEE Conference on Decision and Control, pp.1224-1229, 1992."},{"key":"20","doi-asserted-by":"crossref","unstructured":"[20] E. Mazor, A. Averbuch, Y. Bar-Shalom, and J. Dayan, \u201cInteracting multiple model methods in target tracking: A survey,\u201d IEEE Trans. Aerosp. Electron. Syst., vol.34, no.1, pp.103-123, Jan. 1998.","DOI":"10.1109\/7.640267"},{"key":"21","doi-asserted-by":"crossref","unstructured":"[21] C.C. Logothetis, W. Yao, and A. Logothetis, \u201cJoint channel and velocity estimation,\u201d Proc. 2007 IEEE International Conference on Networking, Sensing and Control, pp.781-786, 2007.","DOI":"10.1109\/ICNSC.2007.372879"},{"key":"22","doi-asserted-by":"crossref","unstructured":"[22] R.E. Bellman, Adaptive Control Processes: a Guided Tour, Princeton University Press, Princeton, New Jersey, U.S.A., 1961.","DOI":"10.1515\/9781400874668"},{"key":"23","doi-asserted-by":"crossref","unstructured":"[23] N.J. Gordon, D.J. Salmond, and A.F.M. Smith, \u201cNovel approach to nonlinear\/non-Gaussian Bayesian state estimation,\u201d IEE Proc. F Radar Signal Process. UK, vol.140, no.2, pp.107-113, April 1993.","DOI":"10.1049\/ip-f-2.1993.0015"},{"key":"24","doi-asserted-by":"crossref","unstructured":"[24] G. Kitagawa, \u201cMonte Carlo filter and smoother for non-Gaussian nonlinear state space models,\u201d J. Comput. Graph. Stat., vol.5, no.1, pp.1-25, March 1996.","DOI":"10.1080\/10618600.1996.10474692"},{"key":"25","unstructured":"[25] T. Katayama, Nonlinear Kalman Filter, Asakura Publishing, 2011. (in Japanese)"},{"key":"26","doi-asserted-by":"crossref","unstructured":"[26] G. Kitagawa, \u201cA self-organizing state-space model,\u201d J. Am. Stat. Assoc., vol.93, no.443, pp.1203-1215, Sept. 1998.","DOI":"10.2307\/2669862"},{"key":"27","doi-asserted-by":"crossref","unstructured":"[27] M.K. Pitt and N. Shephard, \u201cFiltering via simulation: Auxiliary particle filters,\u201d J. Am. Stat. Assoc., vol.94, no.446, pp.590-599, June 1999.","DOI":"10.1080\/01621459.1999.10474153"},{"key":"28","doi-asserted-by":"crossref","unstructured":"[28] R. Chen and J.S. Liu, \u201cMixture Kalman filters,\u201d J. Royal Statistical Soc.: Series B (Statistical Methodology), vol.62, no.3, pp.493-508, 2000.","DOI":"10.1111\/1467-9868.00246"},{"key":"29","unstructured":"[29] A. Doucet, N. de Freitas, K. Murphy, and S. Russell, \u201cRao-Blackwellised particle filtering for dynamic Bayesian networks,\u201d Proc. AUAI 16th Conference on Uncertainty in Artificial Intelligence (UAI), Stanford, U.S.A., pp.176-183, July 2000."},{"key":"30","doi-asserted-by":"crossref","unstructured":"[30] M. West, \u201cApproximating posterior distributions by mixture,\u201d J. Royal Statistical Soc.: Series B (Methodological), vol.55, no.2, pp.409-422, 1993.","DOI":"10.1111\/j.2517-6161.1993.tb01911.x"},{"key":"31","doi-asserted-by":"crossref","unstructured":"[31] G. Petris, S. Petrone, and P. Campagnoli, Dynamic Linear Models with R, Springer, 2009.","DOI":"10.1007\/b135794_2"},{"key":"32","doi-asserted-by":"crossref","unstructured":"[32] M.P. Rios and H.F. Lopes, \u201cThe extended Liu and West filter: Parameter learning in Markov switching stochastic volatility models,\u201d in State-Space Models: Applications in Economics and Finance, vol.1, pp.23-61, Springer, 2013.","DOI":"10.1007\/978-1-4614-7789-1_2"},{"key":"33","unstructured":"[33] T. Higuchi, G. Ueno, S. Nakano, K. Nakamura, and R. Yoshida, Introduction to Data Assimilation, Asakura Publishing, 2011. (in Japanese)"},{"key":"34","doi-asserted-by":"crossref","unstructured":"[34] G. Kitagawa and W. Gersch, Smoothness Priors Analysis of Time Series, Lecture Notes in Statistics, vol.116, Springer New York, New York, NY, 1996.","DOI":"10.1007\/978-1-4612-0761-0"},{"key":"35","unstructured":"[35] Requirements for Evolved UTRA (E-UTRA) and Evolved UTRAN (E-UTRAN), TR 25.913, The 3rd Generation Partnership Project (3GPP), March 2007."},{"key":"36","doi-asserted-by":"crossref","unstructured":"[36] O. Capp\u00e9, S.J. Godsill, and E. Moulines, \u201cAn overview of existing methods and recent advances in sequential Monte Carlo,\u201d Proc. IEEE, vol.95, no.5, pp.899-924, May 2007.","DOI":"10.1109\/JPROC.2007.893250"},{"key":"37","doi-asserted-by":"crossref","unstructured":"[37] S. S\u00e4rkk\u00e4, Bayesian Filtering and Smoothing, Cambridge University Press, 2013.","DOI":"10.1017\/CBO9781139344203"},{"key":"38","doi-asserted-by":"crossref","unstructured":"[38] H.E. Rauch, F. Tung, and C.T. Striebel, \u201cMaximum likelihood estimates of linear dynamic systems,\u201d AIAA J., vol.3, no.8, pp.1445-1450, Aug. 1965.","DOI":"10.2514\/3.3166"},{"key":"39","doi-asserted-by":"crossref","unstructured":"[39] J. Hagiwara, T. Nishimura, T. Ohgane, and Y. Ogawat, \u201cComparison of Kalman smoother to wiener smoother in practical OFDM channel estimation,\u201d Proc. 2015 21st Asia-Pacific Conference on Communications (APCC), pp.454-459, 2015.","DOI":"10.1109\/APCC.2015.7412555"},{"key":"40","doi-asserted-by":"crossref","unstructured":"[40] T.C. Clapp and S.J. Godsill, \u201cFixed-lag smoothing using sequential importance sampling,\u201d in Bayesian Statistics, ed. J.M. Bernardo, J.O. Berger, A.P. Dawid, and A.F.M. Smith, pp.743-752, Oxford University Press, 1999.","DOI":"10.1093\/oso\/9780198504856.003.0034"},{"key":"41","doi-asserted-by":"crossref","unstructured":"[41] N.G. Polson, J.R. Stroud, and P. M\u00fcller, \u201cPractical filtering with sequential parameter learning,\u201d J. Royal Statistical Soc.: Series B (Statistical Methodology), vol.70, no.2, pp.413-428, 2008.","DOI":"10.1111\/j.1467-9868.2007.00642.x"},{"key":"42","doi-asserted-by":"crossref","unstructured":"[42] R. Prado and M. West, Time Series: Modeling, Computation, and Inference, CRC Press, 2010.","DOI":"10.1201\/9781439882757"},{"key":"43","doi-asserted-by":"crossref","unstructured":"[43] C.M. Carvalho, M.S. Johannes, H.F. Lopes, and N.G. Polson, \u201cParticle learning and smoothing,\u201d Stat. Sci., vol.25, no.1, pp.88-106, Feb. 2010.","DOI":"10.1214\/10-STS325"},{"key":"44","unstructured":"[44] S. Lin and D.J. Costello, Jr., Error Control Coding, second ed., Pearson Prentice Hall, 2004."}],"container-title":["IEICE Transactions on Communications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transcom\/E99.B\/8\/E99.B_2015CCP0009\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,18]],"date-time":"2024-06-18T16:23:23Z","timestamp":1718727803000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transcom\/E99.B\/8\/E99.B_2015CCP0009\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"references-count":44,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2016]]}},"URL":"https:\/\/doi.org\/10.1587\/transcom.2015ccp0009","relation":{},"ISSN":["0916-8516","1745-1345"],"issn-type":[{"value":"0916-8516","type":"print"},{"value":"1745-1345","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016]]}}}