Fundamentals of inertial navigation, satellite-based positioning and their integration

Fundamentals of Inertial Navigation, Satellite-Based Positioning and their Integration

Volumn , Issue , 2013, Pages 1-313

  Noureldin, Aboelmagd ^a   Karamat, Tashfeen B ^a   Georgy, Jacques ^b  

^a QUEEN S UNIVERSITY   (Canada)

^b Invensense Inc   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AIR NAVIGATION; INERTIAL NAVIGATION SYSTEMS; NAVIGATION; NAVIGATION SYSTEMS;

BACK-GROUND KNOWLEDGE; CLOSED LOOPS; FIELD EXPERIMENT; INERTIAL NAVIGATIONS; INS/GPS INTEGRATION; INTEGRATED NAVIGATION SYSTEMS; NAVIGATION ALGORITHMS; TIGHTLY-COUPLED;

TRACKING (POSITION);

EID: 84955391662     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-3-642-30466-8     Document Type: Book

References (135)

1. Alban S, Akos DM, Rock SM, Gebre-Egziabher D (2003) Performance analysis and architectures for INS-aided GPS tracking loops. In: Proceedings of ION National Technical Meeting (NTM), Anaheim CA, 11-24 Jan, U.S. Institute of Navigation, Fairfax pp 611-622
2. Beidou-1 (2012) BeiDou 1 satellite navigation experimental system. www.sinodefence.com/satellites/beidou1.asp. Accessed 16 March 2012
3. Beidou-2 (2012) Compass (Beidou 2) satellite navigation system. www.sinodefence.com/space/satellite/beidou2.asp. Accessed 16 March 2012
4. Bensky A (2007) Wireless positioning technologies and applications-technology and applications. Artech House Publishers, London
5. Borenstein J, Everett H, Feng L, Wehe D (1997) Mobile robot positioning: sensors and techniques. J Rob Syst 14(4):231-249
6. Cox DB Jr (1978) Integration of GPS with inertial navigation systems. Navigation: J Inst Navig 25(2):206-245
7. DeSouza GN, Kak AC (2002) Vision for mobile robot navigation: a survey. IEEE Trans Pattern Anal Mach Intell 24(2):237-267
8. El-Rabbany A (2002) Introduction to GPS: the global positioning system, mobile communication series. Artech House Inc., Norwood
9. ESA (2012) What is Galileo? european space agency www.esa.int/esaNA/galileo.html. Accessed 12 Feb 2012
10. Esmat B (Sep 2007) Introduction to modern navigation systems. World Scientific Publishing, NJ
11. FAA (2012a) Navigation services-ground based augmentation system. www.faa.gov/about/office_org/headquarters_offices/ato/service_units/techops/navservices/gnss/laas/. Accessed Mar 16, 2012
12. FAA (2012b) Wide area augmentation system (WAAS). www.faa.gov/air_traffic/technology/waas/. Accessed Mar 18, 2012 2012
13. FSA (2012) GLONASS constellation status. www.glonass-center.ru/en/GLONASS/. Accessed Mar 18, 2012
14. Groves PD (Dec 2007) Principles of GNSS, inertial, and multi-sensor integrated navigation systems. Artech House
15. Hui L, Darabi H, Banerjee P, Jing L (2007) Survey of wireless indoor positioning techniques and systems. IEEE Trans syst, Man, Cybern-Part C 37(6):1067-1080 (applications and reviews)
16. Jacobson L (2007) GNSS markets and applications: GNSS technology and applications series. Artech House, Norwood
17. Kolodziej KW, Hjelm J (2006) Local positioning systems LBS applications and services. CRC/Taylor and Francis, Boca Raton
18. Maybeck PS (1979) Stochastic models, estimation, and control, vol 1. mathematics in science and engineering, vol 141. Academic, New York
19. Misra P, Enge P (Dec 2001) Global positioning system: signals, measurements and performance. Lincoln, Mass., Ganga-Jamuna Press
20. Skog I, Handel P (2009) In-car positioning and navigation technologies: a survey. IEEE Trans Intell Transp Syst 10(1):4-21
21. Solimeno A (2007) Low-cost INS/GPS data fusion with extended kalman filter for airborne applications. M.Sc. thesis, Technical University of Lisbon, Lisbon
22. Space-Based Positioning, Navigation and Timing (2008). http://pnt.gov/. Accessed Dec 4 2008
23. Stanford (2012) Local aread augmentation system. http://waas.stanford.edu/research/laas.htm. Accessed Mar 18 2012
24. Sudhir NS, Vimala C, Ray JK (2001) Receiver sensitivity analysis and results. In: Proceedings of the 14th international technical meeting of the satellite division of the institute of navigation (ION GNSS 2001), Salt Lake City, Utah, USA, Sept 11-14 2001. Institute of Navigation
25. Yang Y (2007) Tightly coupled MEMS INS/GPS integration with INS aided receiver tracking loops. University of Calgary, Calgary
26. Yang Y, Hatch RR, Sharpe RT (2004) GPS multipath mitigation in measurement domain and its applications for high accuracy navigation. In: Proceedings of the 17th international technical meeting of the satellite division of the institute of navigation (ION GNSS 2004), Long Beach, CA, USA. Institute of Navigation, pp 1124-1130
27. Chatfield AB (1997) Fundamentals of high accuracy inertial navigation. American Institute of Aeronautics and Astronautics, Reston
28. Farrell JA (1998) The global positioning system and inertial navigation. McGraw-Hill, New York
29. Farrell JA (2008) Aided navigation: GPS with high rate sensors. McGraw-Hill, New York
30. Grewal MS, Weill LR, Andrews AP (2007) Global positioning systems, inertial navigation, and integration, 2nd edn. Wiley, New York
31. Hofmann-Wellenhof B, Lichtenegger H, Wasle E (2008) GNSS-global navigation satellite systems: GPS, GLONASS, Galileo, and more. Springer, New York
32. Rogers RM (2007) Applied mathematics in integrated navigation systems, 3rd edn. American Institute of Aeronautics and Astronautics, Reston
33. Schwarz KP, Wei M (Jan 1999) ENGO 623: Partial lecture on INS/GPS integration for geodetic applications University of Calgary, Department of Geomatics Engineering
34. Titterton D, Weston J (2005) Strapdown inertial navigation technology IEE radar, sonar, navigation and avionics series, 2nd edn. AIAA
35. Torge W (1980) Geodesy: an introduction. De Gruyter, Berlin
36. Vanícek P, Krakiwsky EJ (1986) Geodesy, the concepts. North Holland; Sole distributors for the U.S.A. and Canada. Elsevier Science Pub. Co., Amsterdam
37. Langley RB (Jun 1990) Why is GPS Signal So Complex. GPS World
38. Klobuchar JA (1987) Ionospheric time-delay algorithm for single-frequency GPS users. IEEE Trans Aerosp Electron Syst AES-23 (3):325-331
39. GPS Augmentations U.S. Coast Guard Navigation Center (2009) www.gps.gov/systems/augmentations/index.html. Accessed 22 Aug 2009
40. Bate RR, Mueller DD, White JE (1971) Fundamentals of astrodynamics. Dover Publications, New York
41. Battin RH (1987) An introduction to the mathematics and methods of astrodynamics. AIAA, New York
42. Chao CC (1971) The Tropospheric calibration model for Mariner mars. Jet Propulsion Laboratory, California Institute of Technology, Pasandena
43. Chen D (1994) Development of a fast ambiguity search filtering/FASF method for GPS carrier phase ambiguity resolution. Ph D. dissertation, University, Calgary
44. Counselman CG, Gourevitch SA (1981) Miniature interferometer terminals for Earth surveying: ambiguity and multipath with global positioning system. IEEE Trans Geosci Remote Sens GE-19(4):244-252
45. Crosby GK, Ely WBS, McPherson KW, Stewart JM, Kraus DK, Cashin TP, Bean KW, Elrod BD (2000) A ground-based regional augmentation system (GRAS)-The Australian proposal. In: 13th International technical meeting of the satellite division of the institute of navigation (ION GPS 2000), Salt Lake City, Sep 19-22, 2000 Sep 2000
46. El-Rabbany A (2002) Introduction to GPS-The global positioning system. Mobile communication series. Artech House Inc, Norwood
47. Essentials of Satellite Navigation (2007) A Compendium by Ublox
48. Farrell JA (1998) The global positioning system & inertial navigation. McGraw-Hill, New York
49. Farrell JA (2008) Aided navigation: GPS with high rate sensors. McGraw-Hill, New York
50. Diggelen FV (2009) A-GPS assisted GPS, GNSS, and SBAS. Artech House, Boston
51. Gleason S, Gebre-Egziabher D (2009) GNSS applications and methods. Artech House, Boston
52. Government US (2012) The Global Positioning System. U.S. Government. www.gps.gov/systems/gps/. Accessed Feb 2012 2012
53. Hatch R (1990) Instantaneous ambiguity resolution. In: Kinematic systems in geodesy, surveying, and remote sensing, KIS symposium, Banff, 1990. pp 299-308
54. Hofmann-Wellenhof B, Lichtenegger H, Wasle E (2008) GNSS-global navigation satellite systems: GPS, GLONASS, Galileo, and more. Springer, New York
55. Hopfield HS (1969) Two-Quartic tropospheric refractivity profile for correcting satellite data. J Geophys Res J Geophys Res 74(18):4487-4499
56. IS-GPS-200F (2011) Interface Specification IS-GPS-200F. ARINC Engineering Systems Center, El Segundo, CA
57. Joosten P, Tiberius C (2000) Fixing the ambiguities: are you sure they’re right? GPS World, vol 11
58. Kaplan ED, Hegarty CJ (2006) Understanding GPS principles and applications, 2nd edn. Artech House, Boston
59. Kleusberg A, Teunissen PJG (1998) GPS for geodesy, 2nd edn. Springer, Berlin
60. Leick A (2004) GPS satellite surveying. Wiley, Hoboken
61. McLellan JA (1992) Design and analysis of a low cost GPS aided navigation system. M. Eng. Dissertation, University of Calgary, Calgary, AB
62. McPherson K (2001) A ground-based regional augmentation system (GRAS). Navigation 49(193):19-25
63. Misra P, Enge P (2001) Global positioning system: signals, measurements, and performance. Ganga-Jamuna Press, Lincoln
64. Parkinson BW, Spilker JJ, Axelrad P, Enge P (1996) Global positioning system: theory and application, vol I. American Institute of Aeronautics and Astronautics, Washington
65. Prasad R, Ruggieri M (2005) Applied Satellite Navigation using GPS, GALILEO, and Augmentation systems. Artech House
66. Seeber G (2003) Satellite geodesy, 2nd edn. de Gruyter, Berlin
67. Teunissen PJG (1997) A canonical theory for short GPS baselines. Part IV: precision versus reliability. J Geodesy 71(9):513-525. doi:10.1007/s001900050119
68. Teunissen PJG (1994) Tiberius CCJM Integer least-squares estimation of the GPS phase ambiguities. In: Proceedings of international symposium on kinematic systems in geodesy, Geomatics and navigation KIS’94, Banff, pp 221-231
69. Barbour N, Schmidt G (2001) Inertial sensor technology trends. Sens J IEEE 1(4):332-339
70. Grewal MS, Weill LR, Andrews AP (2007) Global positioning systems, inertial navigation, and integration, 2nd edn. Wiley, New york
71. Groves PD (2007) Principles of GNSS inertial and multi-sensor integrated navigation systems. Artech House, USA
72. KVH (2012) www.kvh.com/Commercial-and-OEM/Gyros-and-Inertial-Systems-and-Compasses/Gyros-and-IMUs-and-INS.aspx. Accessed 28 Mar 2012
73. Lawrence A (1998) Modern inertial technology: navigation, guidance, and control, 2nd edn. Springer, New York
74. Petovello M, Lachapelle G, Scherzinger B (2007) What are the important considerations when selecting the type of quality of IMU for integration with GNSS. InsideGNSS
75. Prasad R, Ruggieri M (2005) Applied satellite navigation using GPS GALILEO and augmentation systems. Artech House, USA
76. Wang, HG, Williams TC (2008) Strategic inertial navigation systems-high-accuracy inertially stabilized platforms for hostile environments. IEEE Control system Magazine 28(1):65-85
77. Bekir E (2007) Introduction to modern navigation systems. World Scientific Singapore, Hackensack, NJ
78. Farrell JA (2008) Aided Navigation: GPS with High Rate Sensors. McGraw-Hill Professional, USA
79. Georgy J, Karamat TB, Iqbal U, Noureldin A (2010) Enhanced MEMS-IMU/odometer/GPS integration using mixture particle filter. GPS Solutions 15(3):1-14. doi:10.1007/s10291-010-0186-4
80. Iqbal U, Karamat TB, Okou AF, Noureldin A (2009) Experimental results on an integrated GPS and multisensor system for land vehicle positioning. International journal of navigation and observation, hindawi publishing corporation, Article ID 765010 2009: 18. doi:10.1155/2009/765010
81. Jekeli C (2001) Inertial navigation systems with geodetic applications. Walter de Gruyter, Berlin, New York
82. Kuipers JB (1999) Quaternions and rotation sequences: a primer with applications to orbits, aerospace, and virtual reality. Princeton University Press, Princeton NJ
83. Noureldin A, Karamat TB, Eberts MD, El-Shafie A (2009) Performance enhancement of MEMSbased INS/GPS integration for low-cost navigation applications. IEEE Trans Veh Technol 58(3):1077-1096
84. Rogers RM (2007) Applied mathematics in integrated navigation systems, 3rd edn. AIAA
85. Chiang KW, Noureldin A, El-Sheimy N (2006) The utilization of artificial neural networks for multi-sensor system integration in navigation and positioning instruments. Paper presented at the IEEE transactions on instrumentation and measurement
86. Georgy J, Iqbal U, Bayoumi M, Noureldin A (2008) Reduced inertial sensor system (RISS)/GPS integration using particle filtering for land vehicles. In: Proceedings of the 21th international technical meeting of the satellite division of the institute of navigation (ION GNSS 2008), avannah, Georgia, USA, ION GNSS 2008, pp 30-37
87. Georgy J, Karamat T, Iqbal U, Noureldin A (2011) Enhanced MEMS-IMU/Odometer/GPS integration using mixture particle filter. GPS Solutions 15(3):239-252
88. Georgy J, Karamat TB, Iqbal U, Noureldin A (2010) Enhanced MEMS-IMU/odometer/GPS integration using mixture particle filter. GPS solutions:1-14. doi:10.1007/s10291-010-0186-4
89. Karamat TB, Georgy J, Iqbal U, Noureldin AA (2009) Tightly-coupled reduced multi-sensor system for urban navigation. In: Proceedings of the 22nd international technical meeting of the satellite division of the institute of navigation (ION GNSS 2009), Savannah, GA, USA, 22-25 Sep 2009
90. King AD (1998) Inertial navigation-forty years of evolution. GEC Rev 13(3):140-149
91. Noureldin A, El-Shafie A, El-Sheimy N (2007) Adaptive neuro-fuzzy module for INS/GPS integration utilizing position and velocity update with real-time cross validation. IET Radar Sonar Navig 1(5):388-396
92. Noureldin A, Karamat TB, Eberts MD, El-Shafie A (2009) Performance enhancement of MEMSBased INS/GPS integration for low-cost navigation applications. IEEE Trans Veh Technol 58(3):1077-1096
93. Schwarz KP, Wei M (1999) ENGO 623: Partial lecture on INS/GPS integration for geodetic applications, University of Calgary, department of geomatics engineering
94. Biezad DJ (1999) Integrated navigation and guidance systems. The American Institute of Aeronautics and Astronautics, Reston. ISBN:15634729109781563472916
95. Brown RG, Hwang PYC (1997) Introduction to random signals and applied kalman filtering: with MATLAB exercises and solutions, 3rd edn. Wiley, New York
96. Bucy RS, Joseph PD (2005) Filtering for stochastic processes with applications to guidance. American Mathematical Society
97. Fagin SL (1964) Recursive linear regression theory and error analysis of optimal systems. IEEE Int Conv Rec 2:216-240
98. Gelb (editor) A (1974) Applied optimal estimation. M.I.T. Press, Cambridge, Mass
99. Grewal MS, Andrews AP (2001) Kalman filtering: theory and practice using MATLAB, 2nd edn. Wiley, New York
100. Grewal MS, Andrews AP (2008) Kalman filtering: theory and practice using MATLAB®. Wiley, Oxford
101. Maybeck PS (1979) Stochastic models, estimation, and control, vol 1. Academic, New York
102. Maybeck PS (1982a) Stochastic models, estimation, and control, vol 2. New York, Academic
103. Maybeck PS (1982b) Stochastic models, estimation, and control, vol 3. New York, Academic
104. Minkler G, Minkler J (1993) Theory and application of kalman filtering. Magellan Book Co., Palm Bay, FL
105. Schlee FH, Standish CJ, Toda NF (1967) Divergence in the kalman filter. AIAA J 5(6): 1114-1120
106. Schmidt SF (1968) Case study of kalman filtering in the C-5 aircraft navigation system. Joint Autom, Control Conference, Ann Arbor, MI
107. Simon D (2006) Optimal state estimation: Kalman, H infinity, and nonlinear approaches. Wiley, Hoboken
108. Sorenson HW, Sacks JE (1971) Recursive fading memory filtering. Inf Sci 3(2):101-119
109. Welch G, Bishop G (2001) SIGGRAPH course 8: an introduction to the Kalman filter. University of North Carolina at Chapel Hill, Chapel Hill
110. Alban S, Akos DM, Rock SM, Gebre-Egziabher D (2003) Performance analysis and architectures for INS-aided GPS tracking loops. In: Proceedings of ION national technical meeting (NTM), U.S. Institute of navigation, Fairfax, Anaheim 11-24 Jan 2003, pp 611-622
111. Gebre-Egziabher D (2007) What is the difference between ‘loose’, ‘tight’ and ‘ultra-tight’ and ‘deep’ integration strategies for INS and GNSS. InsideGNSS
112. Groves PD (2008) Principles of GNSS, inertial and multi-sensor integrated navigation systems. Artech House, Boston
113. Hide C, Moore T, Hill C, Park D (2006) Low cost, high accuracy positioning in urban environments. J Navig 59(3):365-379
114. Maybeck PS (1979) Stochastic models, estimation, and control, vol 1. Academic, New York
115. Minkler G, Minkler J (1993) Theory and application of Kalman filtering. Magellan Book Company, Palm Bay
116. Misra P, Enge P (2001) Global positioning system: signals, measurements and performance. Ganga-Jamuna Press, Lincoln
117. Salycheve OS (2004) Applied inertial navigation: problem and solutions. BMSTU Press, Moscow
118. Wagner JF, Wieneke T (2003) Integrating satellite and inertial navigation-conventional and new fusion approaches. Control Eng Pract 11(5):543-550
119. Wang W, Liu Z, Xie R (2005) An improved tightly coupled approach for GPS/INS integration. In: Piscataway NJ (ed) 2004 IEEE conference on robotics, automation and mechatronics (IEEE Cat. No.04EX913). IEEE, pp 1164-1167
120. Wei G, Qi N, Guofu Z, Hui J (2007) Gyroscope drift estimation in tightly-coupled INS/GPS navigation system. In: Piscataway NJ (ed) 2007 second IEEE conference on industrial electronics and applications. IEEE, pp 391-396
121. Wei W, Zong-yu L, Rong-rong X (2006) Quadratic extended Kalman filter approach for GPS/INS integration. Aerosp Sci Technol 10(8):709-713
122. Yang Y (2008) Tightly coupled MEMS INS/GPS integration with INS aided receiver tracking loops. Ph.D. dissertation, University of Calgary, Calgary
123. Brandt A, Gardner JF (1998) Constrained navigation algorithms for strapdown inertial navigation systems with reduced set of sensors. In: Proceedings of the 1998 American control conference (ACC), June 24-26, 1998, Philadelphia, PA, American Automatic Control Council, pp 1848-1852 BN - 1840 7803 4530 1844
124. Georgy J, Noureldin A, Korenberg M, Bayoumi M (2010) Low-cost three-dimensional navigation solution for RISS/GPS integration using mixture particle filter. IEEE Trans Veh Technol 59(2):599-615
125. Iqbal U, Karamat TB, Okou AF, Noureldin A (2009) Experimental results on an integrated GPS and multisensor system for land vehicle positioning. Int J Navig Obs, Hindawi Publishing Corporation. doi:10.1155/2009/765010, Article ID 765010
126. Iqbal U, Noureldin A (2009) Integrated reduced inertial sensor system/GPS for vehicle navigation. VDM Verlag, Germany
127. Iqbal U, Okou F, Noureldin A (2008) An integrated reduced inertial sensor system-RISS/GPS for land vehicles. In: Proceeding of IEEE/ION position, location and navigation symposium, Monterey, CA, pp 1014-1021, May 2008
128. Noureldin A, Irvine-Halliday D, Mintchev MP (2004) Measurement-while-drilling surveying of highly inclined and horizontal well sections utilizing single-axis gyro sensing system. Meas Sci Technol 15(12):2426-2434
129. Noureldin A, Irvine-Halliday D, Mintcheve MP (2002) Accuracy limitations of FOG-based continuous measurement-while-drilling surveying instruments for horizontal wells. IEEE Trans Instrum Meas 51(6):1177-1190
130. Skog I, Handel P (2009) In-car positioning and navigation technologies-a survey. Intell Transp Syst, IEEE Trans 10(1):4-21
131. Crossbow (2007) IMU User’s manual-models IMU300CC, IMU400CC, IMU400CD. Crossbow technology, inc. doi:7430-0003-03
132. Crossbow (2012) IMU300-6DOF inertial measurement unit: crossbow technology inc. http://bullseye.xbow.com:81/Products/productdetails.aspx?sid=208. Accessed 07 Mar 2012
133. Davis (2012) CarChip OBDII-based vehicle data logger and software: Davis instruments. Davis instruments corp. www.davisnet.com/product_documents/drive/spec_sheets/8211-21-25_carchip_specsB.pdf. Accessed 7 Mar 2012
134. NovAtel (2005) SPAN technology user manual OM-20000062. NovAtel inc. doi:OM-20000062 Rev7
135. Schneider A (2008) Draw a Google map from a GPS file. www.gpsvisualizer.com/map_input? form=google. Accessed 29 Sep 2011