{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T16:08:04Z","timestamp":1760890084501,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":23,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,9,25]],"date-time":"2019-09-25T00:00:00Z","timestamp":1569369600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,9,25]]},"DOI":"10.1145\/3386164.3386179","type":"proceedings-article","created":{"date-parts":[[2020,6,7]],"date-time":"2020-06-07T01:30:15Z","timestamp":1591493415000},"page":"1-5","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["A Compensation Method for FOG Temperature Drift Error Based on Double-section Polynomial Fitting"],"prefix":"10.1145","author":[{"given":"Yang","family":"Li","sequence":"first","affiliation":[{"name":"Navy Research Academy, Beijing, China"}]},{"given":"Ke","family":"Chen","sequence":"additional","affiliation":[{"name":"Navy Research Academy, Beijing, China"}]},{"given":"Liu-wei","family":"Mao","sequence":"additional","affiliation":[{"name":"Navy Research Academy, Beijing, China"}]}],"member":"320","published-online":{"date-parts":[[2020,6,6]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"crossref","unstructured":"Chen X.Y. Shen C. Study on temperature error processing technique for fiber optic gyroscope. Optik (2013) 784--792.  Chen X.Y. Shen C. Study on temperature error processing technique for fiber optic gyroscope. Optik (2013) 784--792.","DOI":"10.1016\/j.ijleo.2012.02.008"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"crossref","unstructured":"Fan C. L. Jin Z. H. Tian W. F. 2004. Temperature drift modeling of fiber optic gyroscopes based on a grey radial basis function neural network. J. Measurement Science and Technology (2004) 119--126.  Fan C. L. Jin Z. H. Tian W. F. 2004. Temperature drift modeling of fiber optic gyroscopes based on a grey radial basis function neural network. J. Measurement Science and Technology (2004) 119--126.","DOI":"10.1088\/0957-0233\/15\/1\/016"},{"key":"e_1_3_2_1_3_1","unstructured":"Fan C. L. Jin Z. H. Tian W. F. 2005. Grey Markov chain and its application in drift prediction model of FOGs Journal of Systems Engineering and Electronics (2005) 388--393.  Fan C. L. Jin Z. H. Tian W. F. 2005. Grey Markov chain and its application in drift prediction model of FOGs Journal of Systems Engineering and Electronics (2005) 388--393."},{"key":"e_1_3_2_1_4_1","unstructured":"Forman G. 2003. An extensive empirical study of feature selection metrics for text classification. J. Mach. Learn. Res. 3 (Mar. 2003) 1289--1305.  Forman G. 2003. An extensive empirical study of feature selection metrics for text classification. J. Mach. Learn. Res. 3 (Mar. 2003) 1289--1305."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"crossref","unstructured":"Friedemann M. 1996. Thermooptically induced bias drift in fiber optical Sagnac interferometers. Journal of Lightwave Technology (1996) 27--41.  Friedemann M. 1996. Thermooptically induced bias drift in fiber optical Sagnac interferometers. Journal of Lightwave Technology (1996) 27--41.","DOI":"10.1109\/50.476134"},{"key":"e_1_3_2_1_6_1","unstructured":"Han B. LIN Y. R. and Deng Z. L. 2009. Overview on modeling and compensation of FOG temperature drift. J. Chinese Inertial Technology (2009) 218--224.  Han B. LIN Y. R. and Deng Z. L. 2009. Overview on modeling and compensation of FOG temperature drift. J. Chinese Inertial Technology (2009) 218--224."},{"key":"e_1_3_2_1_7_1","first-page":"185","author":"Han D.","year":"2009","journal-title":"Journal of Robotics and Automatic ("},{"key":"e_1_3_2_1_8_1","unstructured":"Qian F. Tian W. F. Yang Y. J. 2003. A model on temperature drift of interference fiber optical gyros based on controlled Markov hain. Journal of Optoelectronics Laser (2003) 705--708.  Qian F. Tian W. F. Yang Y. J. 2003. A model on temperature drift of interference fiber optical gyros based on controlled Markov hain. Journal of Optoelectronics Laser (2003) 705--708."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","unstructured":"Sameh N. Klaus P. S. and Naser E. Modeling Inertial Sensor Errors Using Autoregressive (AR) Models. Navigation (2004) 259--268.  Sameh N. Klaus P. S. and Naser E. Modeling Inertial Sensor Errors Using Autoregressive (AR) Models. Navigation (2004) 259--268.","DOI":"10.1002\/j.2161-4296.2004.tb00357.x"},{"volume-title":"Research on the Application and Compensation for Starup Process of FOG Based on RBF Neural Network. Proceedings of IEEE the 10th World Congress on Intelligent Control and Automation","year":"2012","author":"Shen J.","key":"e_1_3_2_1_10_1"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","unstructured":"Shupe D. Thermally induced nonreciprocity in the fiber optic interferometer. Appl Opt (1980) 654--655.  Shupe D. Thermally induced nonreciprocity in the fiber optic interferometer. Appl Opt (1980) 654--655.","DOI":"10.1364\/AO.19.000654"},{"key":"e_1_3_2_1_12_1","unstructured":"Song N. F. Yuan R. and Jin J. 2011. Autonomous estimation of Allan variance coefficients of onboard fiber optic gyro. Journal of Instrument (2011) 2--10.  Song N. F. Yuan R. and Jin J. 2011. Autonomous estimation of Allan variance coefficients of onboard fiber optic gyro. Journal of Instrument (2011) 2--10."},{"volume-title":"Navigation & Control Conference. IEEE","year":"2015","author":"Song R.","key":"e_1_3_2_1_13_1"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","unstructured":"Wang W. and Chen X. 2016. Temperature drift modeling and compensation of fiber optical gyroscope based on improved support vector machine and particle swarm optimization algorithms. Appl Opt (2016) 6243--6250.  Wang W. and Chen X. 2016. Temperature drift modeling and compensation of fiber optical gyroscope based on improved support vector machine and particle swarm optimization algorithms. Appl Opt (2016) 6243--6250.","DOI":"10.1364\/AO.55.006243"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/JLT.2012.2198045"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2004.1386872"},{"key":"e_1_3_2_1_17_1","unstructured":"Yu C. L. Zhang H. X. Wu Y. J. 2009. Experimental project of FOG temperature model-building based on uniform design. Infrared and Laser Engineering (2009) 330--334.  Yu C. L. Zhang H. X. Wu Y. J. 2009. Experimental project of FOG temperature model-building based on uniform design. Infrared and Laser Engineering (2009) 330--334."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"crossref","unstructured":"Yu F. Fan S. Zhang Y. Wu P. and Chang J. 2017. Compensation method for temperature error of fiber optic gyroscope based on support vector machine. Forum on Cooperative Positioning & Service (2017) 16--17.  Yu F. Fan S. Zhang Y. Wu P. and Chang J. 2017. Compensation method for temperature error of fiber optic gyroscope based on support vector machine. Forum on Cooperative Positioning & Service (2017) 16--17.","DOI":"10.1109\/CPGPS.2017.8075090"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSEE.2013.00096"},{"key":"e_1_3_2_1_20_1","unstructured":"Zhang H. X. Wu Y. J. Wang Y. H. 2007. Temperature compensation for FOG based on fuzzy logic. Journal of Chinese Inertial Technology (2007) 343--346.  Zhang H. X. Wu Y. J. Wang Y. H. 2007. Temperature compensation for FOG based on fuzzy logic. Journal of Chinese Inertial Technology (2007) 343--346."},{"key":"e_1_3_2_1_21_1","first-page":"55","author":"Zhao X. L.","year":"2004","journal-title":"Journal of Chinese Inertial Technology ("},{"volume-title":"IEEE International Conference on Information & Automation (June 22-25","year":"2009","author":"Zhou C. L.","key":"e_1_3_2_1_22_1"},{"key":"e_1_3_2_1_23_1","unstructured":"Zhou H. B. Liu J. Y. and Xiong Z. 2006. Temperature modeling study for FOG based on back-propogation neural network. Journal of Optic Electronic Engineering (2006) 135--144  Zhou H. B. Liu J. Y. and Xiong Z. 2006. Temperature modeling study for FOG based on back-propogation neural network. Journal of Optic Electronic Engineering (2006) 135--144"}],"event":{"name":"ISCSIC 2019: 2019 3rd International Symposium on Computer Science and Intelligent Control","acronym":"ISCSIC 2019","location":"Amsterdam Netherlands"},"container-title":["Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3386164.3386179","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3386164.3386179","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:02:25Z","timestamp":1750197745000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3386164.3386179"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,9,25]]},"references-count":23,"alternative-id":["10.1145\/3386164.3386179","10.1145\/3386164"],"URL":"https:\/\/doi.org\/10.1145\/3386164.3386179","relation":{},"subject":[],"published":{"date-parts":[[2019,9,25]]},"assertion":[{"value":"2020-06-06","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}