{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,18]],"date-time":"2026-05-18T10:28:54Z","timestamp":1779100134277,"version":"3.51.4"},"reference-count":47,"publisher":"MDPI AG","issue":"16","license":[{"start":{"date-parts":[[2021,8,15]],"date-time":"2021-08-15T00:00:00Z","timestamp":1628985600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2018YFB0505200"],"award-info":[{"award-number":["2018YFB0505200"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2018YFB0505201"],"award-info":[{"award-number":["2018YFB0505201"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["2042018kf0253"],"award-info":[{"award-number":["2042018kf0253"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Guiding project of scientific research plan of Hubei Ministry of Education","award":["B2019154"],"award-info":[{"award-number":["B2019154"]}]},{"name":"PhD research foundation of Hubei University of Science and Technology","award":["BK201801"],"award-info":[{"award-number":["BK201801"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Positioning accuracy and power consumption are essential performance indicators of integrated navigation and positioning chips. This paper proposes a single-frequency GNSS\/MEMS-IMU\/odometer real-time high-precision integrated navigation algorithm with dynamic power adaptive adjustment capability in complex environments. It is implemented in a multi-sensor fusion navigation SiP (system in package) chip. The simplified INS algorithm and the simplified Kalman filter algorithm are adopted to reduce the computation load, and the strategy of adaptively adjusting the data rate and selecting the observation information for measurement update in different scenes and motion modes is combined to realize high-precision positioning and low power consumption in complex scenes. The performance of the algorithm is verified by real-time vehicle experiments in a variety of complex urban environments. The results show that the RMS statistical value of the overall positioning error in the entire road section is 0.312 m, and the overall average power consumption is 141 mW, which meets the requirements of real-time integrated navigation for high-precision positioning and low power consumption. It supports single-frequency GNSS\/MEMS-IMU\/odometer integrated navigation SiP chip in real-time, high-precision, low-power, and small-volume applications.<\/jats:p>","DOI":"10.3390\/rs13163236","type":"journal-article","created":{"date-parts":[[2021,8,15]],"date-time":"2021-08-15T22:51:27Z","timestamp":1629067887000},"page":"3236","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Dynamic Adaptive Low Power Adjustment Scheme for Single-Frequency GNSS\/MEMS-IMU\/Odometer Integrated Navigation in the Complex Urban Environment"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9661-3562","authenticated-orcid":false,"given":"Peihui","family":"Yan","sequence":"first","affiliation":[{"name":"GNSS Research Center, Wuhan University, No. 129 Luoyu Road, Wuhan 430079, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0122-5514","authenticated-orcid":false,"given":"Jinguang","family":"Jiang","sequence":"additional","affiliation":[{"name":"GNSS Research Center, Wuhan University, No. 129 Luoyu Road, Wuhan 430079, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanan","family":"Tang","sequence":"additional","affiliation":[{"name":"GNSS Research Center, Wuhan University, No. 129 Luoyu Road, Wuhan 430079, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fangning","family":"Zhang","sequence":"additional","affiliation":[{"name":"GNSS Research Center, Wuhan University, No. 129 Luoyu Road, Wuhan 430079, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dongpeng","family":"Xie","sequence":"additional","affiliation":[{"name":"GNSS Research Center, Wuhan University, No. 129 Luoyu Road, Wuhan 430079, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiaji","family":"Wu","sequence":"additional","affiliation":[{"name":"GNSS Research Center, Wuhan University, No. 129 Luoyu Road, Wuhan 430079, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianghua","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Electronics and Information Engineering, Hubei University of Science and Technology, Xiannning 437100, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jingnan","family":"Liu","sequence":"additional","affiliation":[{"name":"GNSS Research Center, Wuhan University, No. 129 Luoyu Road, Wuhan 430079, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,8,15]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1017\/S0373463307004213","article-title":"A Universal Approach for Processing any MEMS Inertial Sensor Configuration for Land-Vehicle Navigation","volume":"60","author":"Niu","year":"2007","journal-title":"J. Navig."},{"key":"ref_2","unstructured":"Kaplan, E.D., and Hegarty, C. (2005). Understanding GPS Principles and Applications, Artech House Publishers."},{"key":"ref_3","unstructured":"Savage, P.G. (2000). Strapdown Analytics: Part 1 and 2, Strapdown Associates, Inc."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Titterton, D., and Weston, J. (2004). Strapdown Inertial Navigation Technology, Institution of Engineering and Technology.","DOI":"10.1049\/PBRA017E"},{"key":"ref_5","unstructured":"Jekeli, C. (2012). Inertial Navigation Systems with Geodetic Applications, Walter de Gruyter."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Stepanov, O.A. (2016). Optimal and Suboptimal Filtering in Integrated Navigation Systems. Aerosp. Navig. Syst., 244\u2013298.","DOI":"10.1002\/9781119163060.ch8"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1134\/S2075108719040023","article-title":"Comparative Analysis of Fusion Algorithms in a Loosely-Coupled Integrated Navigation System on the Basis of Real Data Processing","volume":"10","author":"Gavrilov","year":"2019","journal-title":"Gyroscopy Navig."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1002\/j.2161-4296.2007.tb00403.x","article-title":"An Accurate Land-Vehicle MEMS IMU\/GPS Navigation System Using 3D Auxiliary Velocity Updates","volume":"54","author":"Niu","year":"2007","journal-title":"Navigation"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1007\/978-3-319-14636-2_12","article-title":"Low-Cost Inertial Navigation","volume":"Volume 27","author":"Prevost","year":"2015","journal-title":"Control and Systems Engineering"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"1315","DOI":"10.1007\/s10291-017-0613-x","article-title":"Low-cost, high-precision, single-frequency GPS\u2013BDS RTK positioning","volume":"21","author":"Odolinski","year":"2017","journal-title":"GPS Solut."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"527","DOI":"10.1016\/j.ast.2006.04.002","article-title":"An integrated GPS\/MEMS-IMU navigation system for an autonomous helicopter","volume":"10","author":"Wendel","year":"2006","journal-title":"Aerosp. Sci. Technol."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1007\/s10291-015-0471-3","article-title":"Improving MEMS-IMU\/GPS integrated systems for land vehicle navigation applications","volume":"20","author":"Sasani","year":"2015","journal-title":"GPS Solut."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Li, T., Zhang, H., Gao, Z., Chen, Q., and Niu, X. (2018). High-Accuracy Positioning in Urban Environments Using Single-Frequency Multi-GNSS RTK\/MEMS-IMU Integration. Remote Sens., 10.","DOI":"10.3390\/rs10020205"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Li, T., Zhang, H., Gao, Z., Niu, X., and El-Sheimy, N. (2019). Tight Fusion of a Monocular Camera, MEMS-IMU, and Single-Frequency Multi-GNSS RTK for Precise Navigation in GNSS-Challenged Environments. Remote Sens., 11.","DOI":"10.3390\/rs11060610"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1134\/S2075108718040090","article-title":"Attitude Determination Using Ambiguous GNSS Phase Measurements and Absolute Angular Rate Measurements","volume":"9","author":"Zharkov","year":"2018","journal-title":"Gyroscopy Navig."},{"key":"ref_16","first-page":"10","article-title":"Mobile Mapping Systems-State of the Art and Future Trends","volume":"35","author":"Schwarz","year":"2004","journal-title":"ISPRS. Arch."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"759","DOI":"10.1080\/02640411003716934","article-title":"3D measurements of alpine skiing with an inertial sensor motion capture suit and GNSS RTK system","volume":"28","author":"Supej","year":"2010","journal-title":"J. Sports Sci."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Fasel, B., Sp\u00f6rri, J., Gilgien, M., Boffi, G., Chardonnens, J., M\u00fcller, E., and Aminian, K. (2016). Three-Dimensional Body and Centre of Mass Kinematics in Alpine Ski Racing Using Differential GNSS and Inertial Sensors. Remote Sens., 8.","DOI":"10.3390\/rs8080671"},{"key":"ref_19","unstructured":"Godha, S., Lachapelle, G., and Cannon, E. (2006, January 26\u201329). Integrated GPS\/INS System for Pedestrian Navigation in a Signal Degraded Environment. Proceedings of the 19th International Technical Meetings of the Satellite Division of the Institute of Navigation, Fort Worth, TX, USA."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1134\/S2075108720020054","article-title":"Accurate and Direct GNSS\/PDR Integration Using Extended Kalman Filter for Pedestrian Smartphone Navigation","volume":"11","author":"Rehman","year":"2020","journal-title":"Gyroscopy Navig."},{"key":"ref_21","first-page":"1","article-title":"Algorithm Improvement of the Low-End GNSS\/INS Systems for Land Vehicles Navigation","volume":"2013","author":"Zhang","year":"2013","journal-title":"Math. Probl. Eng."},{"key":"ref_22","unstructured":"Shin, E.-H. (2001). Accuracy Improvement of Low Cost INS\/GPS for Land Applications. [Master's Thesis, The University of Calgary]."},{"key":"ref_23","unstructured":"Jordan, J. (1969). An Accurate Strapdown Direction Cosine Algorithm, National Aeronautics and Space Administration."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1109\/TAES.1971.310252","article-title":"A New Mathematical Formulation for Strapdown Inertial Navigation","volume":"7","author":"Bortz","year":"1971","journal-title":"IEEE Trans. Aerosp. Electron. Syst."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"419","DOI":"10.1109\/TAES.2018.2866034","article-title":"Fast RodFIter for Attitude Reconstruction from Inertial Measurements","volume":"55","author":"Wu","year":"2018","journal-title":"IEEE Trans. Aerosp. Electron. Syst."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"323","DOI":"10.4028\/www.scientific.net\/AMM.245.323","article-title":"An Improved and Efficient Algorithm for SINS\/GPS\/Doppler Integrated Navigation Systems","volume":"245","author":"Ushaq","year":"2012","journal-title":"Appl. Mech. Mater."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1161","DOI":"10.1017\/S0373463318000140","article-title":"A Low Complexity Integrated Navigation System for Underwater Vehicles","volume":"71","author":"Emami","year":"2018","journal-title":"J. Navig."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"541","DOI":"10.4028\/www.scientific.net\/AMM.182-183.541","article-title":"A Rapid Computation Method for Kalman Filtering in Vehicular SINS\/GPS Integrated System","volume":"182\u2013183","author":"Zhu","year":"2012","journal-title":"Appl. Mech. Mater."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"28402","DOI":"10.3390\/s151128402","article-title":"Optimization Algorithm for Kalman Filter Exploiting the Numerical Characteristics of SINS\/GPS Integrated Navigation Systems","volume":"15","author":"Hu","year":"2015","journal-title":"Sensors"},{"key":"ref_30","first-page":"1","article-title":"Efficiency Improvement of Kalman Filter for GNSS\/INS through One-Step Prediction of P Matrix","volume":"2015","author":"Li","year":"2015","journal-title":"Math. Probl. Eng."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"164","DOI":"10.1177\/002029400003300601","article-title":"Micromachined Inertial Sensors: The State-of-the-Art and a Look into the Future","volume":"33","author":"Kraft","year":"2000","journal-title":"Meas. Control."},{"key":"ref_32","unstructured":"Shin, E.H. (2005). Estimation Techniques for Low-Cost Inertial Navigation. [Ph.D. Thesis, The University of Calgary]."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1179\/1752270614Y.0000000099","article-title":"Development and evaluation of GNSS\/INS data processing software for position and orientation systems","volume":"47","author":"Niu","year":"2014","journal-title":"Surv. Rev."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1134\/S2075108718040053","article-title":"Research on Measurement Error Model of GNSS\/INS Integration Based on Consistency Analysis","volume":"9","author":"Niu","year":"2018","journal-title":"Gyroscopy Navig."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Zhang, Q., Chen, Q., Niu, X., and Shi, C. (2019). Requirement Assessment of the Relative Spatial Accuracy of a Motion-Constrained GNSS\/INS in Shortwave Track Irregularity Measurement. Sensors, 19.","DOI":"10.3390\/s19235296"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"104453","DOI":"10.1109\/ACCESS.2019.2931748","article-title":"Positioning Accuracy of a Pipeline Surveying System Based on MEMS IMU and Odometer: Case Study","volume":"7","author":"Chen","year":"2019","journal-title":"IEEE Access"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"157241","DOI":"10.1109\/ACCESS.2019.2946981","article-title":"Kinematic Measurement of the Railway Track Centerline Position by GNSS\/INS\/Odometer Integration","volume":"7","author":"Zhou","year":"2019","journal-title":"IEEE Access"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"8305","DOI":"10.1109\/TVT.2020.2995076","article-title":"Required Lever Arm Accuracy of Non-Holonomic Constraint for Land Vehicle Navigation","volume":"69","author":"Zhang","year":"2020","journal-title":"IEEE Trans. Veh. Technol."},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Chen, Q., Niu, X., Zuo, L., Zhang, T., Xiao, F., Liu, Y., and Liu, J. (2018). A Railway Track Geometry Measuring Trolley System Based on Aided INS. Sensors, 18.","DOI":"10.3390\/s18020538"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"731","DOI":"10.1109\/70.964672","article-title":"The aiding of a low-cost strapdown inertial measurement unit using vehicle model constraints for land vehicle applications","volume":"17","author":"Dissanayake","year":"2001","journal-title":"IEEE Trans. Robot. Autom."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1002\/navi.78","article-title":"Railway Track Irregularity Measuring by GNSS\/INS Integration","volume":"62","author":"Chen","year":"2015","journal-title":"Navigation"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"3402","DOI":"10.1109\/TVT.2008.921616","article-title":"Civilian Vehicle Navigation: Required Alignment of the Inertial Sensors for Acceptable Navigation Accuracies","volume":"57","author":"Syed","year":"2008","journal-title":"IEEE Trans. Veh. Technol."},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Jiang, Q., Wu, W., Li, Y., and Jiang, M. (2017). Millimeter Scale Track Irregularity Surveying Based on ZUPT-Aided INS with Sub-Decimeter Scale Landmarks. Sensors, 17.","DOI":"10.3390\/s17092083"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"342","DOI":"10.1017\/S0373463316000667","article-title":"An Online Smoothing Method Based on Reverse Navigation for ZUPT-Aided INSs","volume":"70","author":"Cai","year":"2016","journal-title":"J. Navig."},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Lee, J.K., and Choi, M.J. (2018). Effect of Strapdown Integration Order and Sampling Rate on IMU-Based Attitude Estimation Accuracy. Sensors, 18.","DOI":"10.3390\/s18092775"},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Robustelli, U., Baiocchi, V., and Pugliano, G. (2019). Assessment of Dual Frequency GNSS Observations from a Xiaomi Mi 8 Android Smartphone and Positioning Performance Analysis. Electronics, 8.","DOI":"10.3390\/electronics8010091"},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Guo, L., Wang, F., Sang, J., Lin, X., Gong, X., and Zhang, W. (2020). Characteristics Analysis of Raw Multi-GNSS Measurement from Xiaomi Mi 8 and Positioning Performance Improvement with L5\/E5 Frequency in an Urban Environment. Remote Sens., 12.","DOI":"10.3390\/rs12040744"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/16\/3236\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T06:46:25Z","timestamp":1760165185000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/16\/3236"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,15]]},"references-count":47,"journal-issue":{"issue":"16","published-online":{"date-parts":[[2021,8]]}},"alternative-id":["rs13163236"],"URL":"https:\/\/doi.org\/10.3390\/rs13163236","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,8,15]]}}}