A Novel Algorithm for Optimal Placement of Multiple Inertial Sensors to Improve the Sensing Accuracy
This paper proposes a novel algorithm to determine the optimal orientation of sensing axes of redundant inertial sensors such as accelerometers and gyroscopes (gyros) for increasing the sensing accuracy. In this paper, we have proposed a novel iterative algorithm to find the optimal sensor configura...
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| Veröffentlicht in: | IEEE transactions on signal processing 2020, Vol.68, p.142-154 |
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| container_title | IEEE transactions on signal processing |
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| creator | Sahu, Nitesh Babu, Prabhu Kumar, Arun Bahl, Rajendar |
| description | This paper proposes a novel algorithm to determine the optimal orientation of sensing axes of redundant inertial sensors such as accelerometers and gyroscopes (gyros) for increasing the sensing accuracy. In this paper, we have proposed a novel iterative algorithm to find the optimal sensor configuration. The proposed algorithm utilizes the majorization-minimization (MM) algorithm and the duality principle to find the optimal configuration. Unlike the state-of-the-art approaches which are mainly geometrical in nature and restricted to sensors' noise being uncorrelated, the proposed algorithm gives the exact orientations of the sensors and can easily deal with the cases of correlated noise. The proposed algorithm has been implemented and tested via numerical simulation in the MATLAB. The simulation results show that the algorithm converges to the optimal configurations and shows the effectiveness of the proposed algorithm. |
| doi_str_mv | 10.1109/TSP.2019.2957639 |
| format | Article |
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In this paper, we have proposed a novel iterative algorithm to find the optimal sensor configuration. The proposed algorithm utilizes the majorization-minimization (MM) algorithm and the duality principle to find the optimal configuration. Unlike the state-of-the-art approaches which are mainly geometrical in nature and restricted to sensors' noise being uncorrelated, the proposed algorithm gives the exact orientations of the sensors and can easily deal with the cases of correlated noise. The proposed algorithm has been implemented and tested via numerical simulation in the MATLAB. The simulation results show that the algorithm converges to the optimal configurations and shows the effectiveness of the proposed algorithm.</description><identifier>ISSN: 1053-587X</identifier><identifier>EISSN: 1941-0476</identifier><identifier>DOI: 10.1109/TSP.2019.2957639</identifier><identifier>CODEN: ITPRED</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Accelerometers ; Algorithms ; Computer simulation ; Configurations ; Covariance matrices ; Detection ; Duality principle ; Estimation error ; Gyroscopes ; Inertial sensing devices ; Iterative algorithms ; Iterative methods ; majorization-minimization ; Navigation ; Noise measurement ; optimal orientation ; Optimization ; Redundant inertial sensor ; Sensors ; Signal processing algorithms</subject><ispartof>IEEE transactions on signal processing, 2020, Vol.68, p.142-154</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c291t-9c8822a1dd6293cac7587879e67b9b3104ed6c620c7ad64a1bd49fb2e4c1ebf43</citedby><cites>FETCH-LOGICAL-c291t-9c8822a1dd6293cac7587879e67b9b3104ed6c620c7ad64a1bd49fb2e4c1ebf43</cites><orcidid>0000-0001-7859-9699</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/8922607$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,4022,27921,27922,27923,54756</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/8922607$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Sahu, Nitesh</creatorcontrib><creatorcontrib>Babu, Prabhu</creatorcontrib><creatorcontrib>Kumar, Arun</creatorcontrib><creatorcontrib>Bahl, Rajendar</creatorcontrib><title>A Novel Algorithm for Optimal Placement of Multiple Inertial Sensors to Improve the Sensing Accuracy</title><title>IEEE transactions on signal processing</title><addtitle>TSP</addtitle><description>This paper proposes a novel algorithm to determine the optimal orientation of sensing axes of redundant inertial sensors such as accelerometers and gyroscopes (gyros) for increasing the sensing accuracy. In this paper, we have proposed a novel iterative algorithm to find the optimal sensor configuration. The proposed algorithm utilizes the majorization-minimization (MM) algorithm and the duality principle to find the optimal configuration. Unlike the state-of-the-art approaches which are mainly geometrical in nature and restricted to sensors' noise being uncorrelated, the proposed algorithm gives the exact orientations of the sensors and can easily deal with the cases of correlated noise. The proposed algorithm has been implemented and tested via numerical simulation in the MATLAB. The simulation results show that the algorithm converges to the optimal configurations and shows the effectiveness of the proposed algorithm.</description><subject>Accelerometers</subject><subject>Algorithms</subject><subject>Computer simulation</subject><subject>Configurations</subject><subject>Covariance matrices</subject><subject>Detection</subject><subject>Duality principle</subject><subject>Estimation error</subject><subject>Gyroscopes</subject><subject>Inertial sensing devices</subject><subject>Iterative algorithms</subject><subject>Iterative methods</subject><subject>majorization-minimization</subject><subject>Navigation</subject><subject>Noise measurement</subject><subject>optimal orientation</subject><subject>Optimization</subject><subject>Redundant inertial sensor</subject><subject>Sensors</subject><subject>Signal processing algorithms</subject><issn>1053-587X</issn><issn>1941-0476</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9UF1LwzAULaLgnL4LvgR87kzSNGkex_BjMN1gE3wraXq7dbRNTVJh_97MDZ_u5d5zzj33RNE9wRNCsHzarFcTiomcUJkKnsiLaEQkIzFmgl-GHqdJnGbi6zq6cW6PMWFM8lFUTtGH-YEGTZutsbXftagyFi17X7eqQatGaWih88hU6H1ofN03gOYdWF-H9Ro6Z6xD3qB529sghPwO_sZ1t0VTrQer9OE2uqpU4-DuXMfR58vzZvYWL5av89l0EWsqiY-lzjJKFSlLTmWilRbBcCYkcFHIIiGYQck1p1gLVXKmSFEyWRUUmCZQVCwZR48n3WDlewDn870ZbBdO5jRJKJE4ZSSg8AmlrXHOQpX3NjxrDznB-THLPGSZH7PMz1kGysOJUgPAPzyTlHIskl9H3HCF</recordid><startdate>2020</startdate><enddate>2020</enddate><creator>Sahu, Nitesh</creator><creator>Babu, Prabhu</creator><creator>Kumar, Arun</creator><creator>Bahl, Rajendar</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><orcidid>https://orcid.org/0000-0001-7859-9699</orcidid></search><sort><creationdate>2020</creationdate><title>A Novel Algorithm for Optimal Placement of Multiple Inertial Sensors to Improve the Sensing Accuracy</title><author>Sahu, Nitesh ; Babu, Prabhu ; Kumar, Arun ; Bahl, Rajendar</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c291t-9c8822a1dd6293cac7587879e67b9b3104ed6c620c7ad64a1bd49fb2e4c1ebf43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Accelerometers</topic><topic>Algorithms</topic><topic>Computer simulation</topic><topic>Configurations</topic><topic>Covariance matrices</topic><topic>Detection</topic><topic>Duality principle</topic><topic>Estimation error</topic><topic>Gyroscopes</topic><topic>Inertial sensing devices</topic><topic>Iterative algorithms</topic><topic>Iterative methods</topic><topic>majorization-minimization</topic><topic>Navigation</topic><topic>Noise measurement</topic><topic>optimal orientation</topic><topic>Optimization</topic><topic>Redundant inertial sensor</topic><topic>Sensors</topic><topic>Signal processing algorithms</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sahu, Nitesh</creatorcontrib><creatorcontrib>Babu, Prabhu</creatorcontrib><creatorcontrib>Kumar, Arun</creatorcontrib><creatorcontrib>Bahl, Rajendar</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>IEEE transactions on signal processing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Sahu, Nitesh</au><au>Babu, Prabhu</au><au>Kumar, Arun</au><au>Bahl, Rajendar</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Novel Algorithm for Optimal Placement of Multiple Inertial Sensors to Improve the Sensing Accuracy</atitle><jtitle>IEEE transactions on signal processing</jtitle><stitle>TSP</stitle><date>2020</date><risdate>2020</risdate><volume>68</volume><spage>142</spage><epage>154</epage><pages>142-154</pages><issn>1053-587X</issn><eissn>1941-0476</eissn><coden>ITPRED</coden><abstract>This paper proposes a novel algorithm to determine the optimal orientation of sensing axes of redundant inertial sensors such as accelerometers and gyroscopes (gyros) for increasing the sensing accuracy. In this paper, we have proposed a novel iterative algorithm to find the optimal sensor configuration. The proposed algorithm utilizes the majorization-minimization (MM) algorithm and the duality principle to find the optimal configuration. Unlike the state-of-the-art approaches which are mainly geometrical in nature and restricted to sensors' noise being uncorrelated, the proposed algorithm gives the exact orientations of the sensors and can easily deal with the cases of correlated noise. The proposed algorithm has been implemented and tested via numerical simulation in the MATLAB. The simulation results show that the algorithm converges to the optimal configurations and shows the effectiveness of the proposed algorithm.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TSP.2019.2957639</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0001-7859-9699</orcidid></addata></record> |
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| source | IEEE Electronic Library (IEL) |
| subjects | Accelerometers Algorithms Computer simulation Configurations Covariance matrices Detection Duality principle Estimation error Gyroscopes Inertial sensing devices Iterative algorithms Iterative methods majorization-minimization Navigation Noise measurement optimal orientation Optimization Redundant inertial sensor Sensors Signal processing algorithms |
| title | A Novel Algorithm for Optimal Placement of Multiple Inertial Sensors to Improve the Sensing Accuracy |
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