Applied low-cost inertial sensor systems and efficient measurement data processing:
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis Book |
| Language: | English |
| Published: |
Tönning
<<Der>> Andere Verl.
2007
|
| Series: | MEMS technology and engineering
6 |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | 240 S. Ill., graph. Darst. |
| ISBN: | 3899595904 |
Staff View
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Record in the Search Index
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| adam_text |
THOMAS E. ZANDER APPLIED LOW-COST INERTIAL SENSOR SYSTEMS AND EFFICIENT
MEASUREMENT DATA PROCESSING MEMS TECHNOLOGY AND ENGINEERING VOL. 6 ***
***007 CONTENTS ZUSAMMENFASSUNG (ABSTRACT) 10 PREFACE AND
ACKNOWLEDGEMENT 12 1 SENSOR DATA PROCESSING MATHEMATICS 13 1.1 BASIC
DEFINITIONS AND EXPRESSIONS 13 1.1.1 NATURAL NUMBERS 13 1.1.2 BINARY
STORAGE MEASUREMENTS 14 1.1.3 ITERATION AND RECURSION 14 1.1.4 MARKOV
CHAIN 15 1.1.5 STATE VECTOR CONVERGENCE 16 1.1.6 MATRIX DECOMPOSITIONS .
. . 16 1.2 COORDINATE PLANES 20 1.3 COORDINATE TRANSFORMATION 23 1.3.1
INITIAL ORIENTATION 25 1.4 NUMERICAL INTEGRATION 27 1.4.1 UPPER / LOWER
SUM APPROXIMATION 27 1.4.2 POLYNOMIAL INTERPOLATION 31 1.4.3 OTHER
NUMERICAL INTEGRATION METHODS 32 1.5 MULTI-DIMENSIONAL INTERPOLATION 33
1.6 PROBABILITY THEORY 35 1.6.1 PROBABILITY THEORY BASICS 36 1.6.2 THE
NORMAL DISTRIBUTION. . 39 1.6.3 THE LAW OF LARGE NUMBERS 41 1.6.4 THE
CENTRAL LIMIT THEOREM 42 1.6.5 MONTE-CARLO-METHOD 43 1.7 PROBABILISTIC
FILTERS 45 1.7.1 SIMPLE AVERAGING 45 1.7.2 MOVING AVERAGING 46 1.7.3
WEIGHTING MOVING AVERAGING 48 1.7.4 WIENER-FILTER 52 1.7.5 G-K-H-FILTER
53 1.7.6 BAYES CLASSIFIER 54 1.7.7 KAIMAN FILTER 55 1.7.8 DECENTRALISED
KAIMAN FILTER 60 1.7.9 EXTENDED KAIMAN FILTER 61 1.7.10 PARTICLE FILTERS
64 1.8 LATEST INNOVATIONS 73 1.8.1 UNSCENTED KAIMAN FILTER 73 1.8.2
UNSCENTED PARTICLE FILTER ' 80 1.8.3 MC MOVEMENT STEPS 82 2 "LIBTF" - A
TRACKING FILTER TOOLKIT FOR ASYNCHRONOUS OBSERVATION SCENARIOS 84 2.1
THEORY OF THE SR-UKF-ALGORITHM 86 2.2 PARALLEL DATA FLOW IN THE UKF
ALGORITHM 96 2.3 THE PARTICLE FILTER FRAME 98 2.4 HIERARCHICAL
CLUSTERING OF FILTER OBJECTS 104 2.5 IMPLEMENTATION OF "LIBTF ILL 2.5.1
LAYER OVERVIEW ILL 2.5.2 SYSTEMLAYER *. 113 2.5.3 HARDWARE ABSTRACTION
LAYER 114 2.5.4 MATH TOOLS LAYER 116 2.5.5 FILTERLAYER 116 2.5.6
IMPLICITLY SYNCHRONISING SCHEDULING 119 2.5.7 MESSAGE PASSING 122 3
INERTIAL SENSORS 124 3.1 MEMS FOR RELATIVE POSITION ESTIMATION 124 3.1.1
DETECTION OF TRANSLATION 125 3.1.2 CONCEPTS OF ACCELEROMETERS 126 3.1.3
DETECTION OF ROTATION 131 3.1.4 CONCEPTS OF GYROSCOPES 133 3.2 TYPICAL
MEMS MEASUREMENT ERRORS 135 3.2.1 CONSTANT OFFSET, LINEAR BIAS 135 3.2.2
CONSTANT SCALE FACTOR 135 3.2.3 NON-LINEARITY 136 3.2.4 SIGNED ASYMMETRY
137 3.2.5 DEAD ZONES 137 3.2.6 HYSTERESIS 139 3.2.7 ERRORS CAUSED BY
ANALOG-DIGITAL-CONVERSION 140 3.2.8 CONCLUSION 143 4 PRACTICAL
APPLICATIONS 145 4.1 RAPID DEPLOYMENT OF "LIBTF" WITH LPR 145 4.1.1
OVERVIEW OF LPR 145 4.1.2 OVERVIEW OF LPR'S TRACKING ALGORITHM 149 4.1.3
RAPID PROTOTYPING WITH "LIBTF' 153 4.1.4 EXPERIMENTAL SETUP AND RESULTS
157 4.1.5 CONCLUSIONS 162 4.2 "LIBTF'IN THE MULTI-CORE ENVIRONMENT 164
4.2.1 IMPLICIT THREAD-SAFENESS OF LIBTF 164 4.2.2 SETUPS FOR THE
MULTI-CORE TESTS 165 4.2.3 BENCHMARKS AND RESULTS FOR PARALLEL RUNNING
FILTERS 167 4.2.4 BENCHMARKS AND RESULTS FOR ONE FILTER, RUNNING A
PARALLELISED SR-UKF PRIOR CYCLE 172 4.2.5 CONCLUSIONS 173 4.3 MEMS WITH
"LIBTF AS BACKBONE FOR SAR AND IMAGING RADARS 174 4.3.1 INTRODUCTION AND
DESIGN OVERVIEW 174 4.3.2 HARDWARE PART 174 4.3.3 SOFTWARE PART 195
4.3.4 CONCLUSIONS 207 CONCLUSIONS AND OUTLOOK 209 ANNEX 213 LIST OF
FIGURES 227 ABBREVIATIONS 228 BIBLIOGRAPHY 231 |
| any_adam_object | 1 |
| author | Zander, Thomas E. |
| author_GND | (DE-588)133835367 |
| author_facet | Zander, Thomas E. |
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| author_sort | Zander, Thomas E. |
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| bvnumber | BV023838992 |
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| id | DE-604.BV023838992 |
| illustrated | Illustrated |
| indexdate | 2024-07-20T05:48:13Z |
| institution | BVB |
| isbn | 3899595904 |
| language | English |
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| physical | 240 S. Ill., graph. Darst. |
| publishDate | 2007 |
| publishDateSearch | 2007 |
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| publisher | <<Der>> Andere Verl. |
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| series | MEMS technology and engineering |
| series2 | MEMS technology and engineering |
| spelling | Zander, Thomas E. Verfasser (DE-588)133835367 aut Applied low-cost inertial sensor systems and efficient measurement data processing Thomas E. Zander Tönning <<Der>> Andere Verl. 2007 240 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier MEMS technology and engineering 6 Zugl.: Freiburg (Breisgau), Univ., Diss., 2007 Messwertverarbeitung (DE-588)4038804-9 gnd rswk-swf Beschleunigungssensor (DE-588)4144872-8 gnd rswk-swf MEMS (DE-588)4824724-8 gnd rswk-swf Objektverfolgung (DE-588)4311226-2 gnd rswk-swf Sequentielle Monte-Carlo-Methode rswk-swf Rapid Prototyping (DE-588)4592693-1 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Beschleunigungssensor (DE-588)4144872-8 s Objektverfolgung (DE-588)4311226-2 s Messwertverarbeitung (DE-588)4038804-9 s Sequentielle Monte-Carlo-Methode s Rapid Prototyping (DE-588)4592693-1 s MEMS (DE-588)4824724-8 s DE-604 MEMS technology and engineering 6 (DE-604)BV035420886 6 GBV Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=017481095&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Zander, Thomas E. Applied low-cost inertial sensor systems and efficient measurement data processing MEMS technology and engineering Messwertverarbeitung (DE-588)4038804-9 gnd Beschleunigungssensor (DE-588)4144872-8 gnd MEMS (DE-588)4824724-8 gnd Objektverfolgung (DE-588)4311226-2 gnd Sequentielle Monte-Carlo-Methode Rapid Prototyping (DE-588)4592693-1 gnd |
| subject_GND | (DE-588)4038804-9 (DE-588)4144872-8 (DE-588)4824724-8 (DE-588)4311226-2 (DE-588)4592693-1 (DE-588)4113937-9 |
| title | Applied low-cost inertial sensor systems and efficient measurement data processing |
| title_auth | Applied low-cost inertial sensor systems and efficient measurement data processing |
| title_exact_search | Applied low-cost inertial sensor systems and efficient measurement data processing |
| title_full | Applied low-cost inertial sensor systems and efficient measurement data processing Thomas E. Zander |
| title_fullStr | Applied low-cost inertial sensor systems and efficient measurement data processing Thomas E. Zander |
| title_full_unstemmed | Applied low-cost inertial sensor systems and efficient measurement data processing Thomas E. Zander |
| title_short | Applied low-cost inertial sensor systems and efficient measurement data processing |
| title_sort | applied low cost inertial sensor systems and efficient measurement data processing |
| topic | Messwertverarbeitung (DE-588)4038804-9 gnd Beschleunigungssensor (DE-588)4144872-8 gnd MEMS (DE-588)4824724-8 gnd Objektverfolgung (DE-588)4311226-2 gnd Sequentielle Monte-Carlo-Methode Rapid Prototyping (DE-588)4592693-1 gnd |
| topic_facet | Messwertverarbeitung Beschleunigungssensor MEMS Objektverfolgung Sequentielle Monte-Carlo-Methode Rapid Prototyping Hochschulschrift |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=017481095&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV035420886 |
| work_keys_str_mv | AT zanderthomase appliedlowcostinertialsensorsystemsandefficientmeasurementdataprocessing |