Multirate Observation-Based X-Ray Pulsar Navigation Technique
AbstractX-ray pulsar navigation techniques can provide the information of position and velocity for spacecraft and have proven to be an extremely promising autonomous navigation solution. Currently, one of the main problems of pulsar navigation is that the update rate of the measurement data is low....
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creator | Guo, Pengbin Sun, Jian Hu, Shuling Xue, Ju |
description | AbstractX-ray pulsar navigation techniques can provide the information of position and velocity for spacecraft and have proven to be an extremely promising autonomous navigation solution. Currently, one of the main problems of pulsar navigation is that the update rate of the measurement data is low. In this paper, a multirate observation pulsar navigation model is proposed to improve the update rate of measurement data. To solve the uncertainty of the measured angles in the multirate observation model of pulsar navigation, a robust extended Kalman filter (REKF) is also proposed. In order to verify the effectiveness of the model and filtering algorithm, the root-mean square (RMS) errors of the REKF for multirate observation model is compared with the extended Kalman filter (EKF) for a multirate observation model and REKF for a synchronous observation model. The simulations results show that the proposed multirate observation model and REKF are valid to improve navigation accuracy. |
doi_str_mv | 10.1061/(ASCE)AS.1943-5525.0000666 |
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Currently, one of the main problems of pulsar navigation is that the update rate of the measurement data is low. In this paper, a multirate observation pulsar navigation model is proposed to improve the update rate of measurement data. To solve the uncertainty of the measured angles in the multirate observation model of pulsar navigation, a robust extended Kalman filter (REKF) is also proposed. In order to verify the effectiveness of the model and filtering algorithm, the root-mean square (RMS) errors of the REKF for multirate observation model is compared with the extended Kalman filter (EKF) for a multirate observation model and REKF for a synchronous observation model. The simulations results show that the proposed multirate observation model and REKF are valid to improve navigation accuracy.</description><identifier>ISSN: 0893-1321</identifier><identifier>EISSN: 1943-5525</identifier><identifier>DOI: 10.1061/(ASCE)AS.1943-5525.0000666</identifier><language>eng</language><publisher>American Society of Civil Engineers</publisher><subject>Algorithms ; Autonomous navigation ; Computer simulation ; Extended Kalman filter ; Filtering ; Navigation ; Pulsars ; Technical Papers ; X-rays</subject><ispartof>Journal of aerospace engineering, 2017-01, Vol.30 (1)</ispartof><rights>2016 American Society of Civil Engineers</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a342t-d1d81f6e25b300968e7c9fe03175450d7750f86b3c63c763d9eabd4d405c3ad83</citedby><cites>FETCH-LOGICAL-a342t-d1d81f6e25b300968e7c9fe03175450d7750f86b3c63c763d9eabd4d405c3ad83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttp://ascelibrary.org/doi/pdf/10.1061/(ASCE)AS.1943-5525.0000666$$EPDF$$P50$$Gasce$$H</linktopdf><linktohtml>$$Uhttp://ascelibrary.org/doi/abs/10.1061/(ASCE)AS.1943-5525.0000666$$EHTML$$P50$$Gasce$$H</linktohtml><link.rule.ids>314,780,784,27923,27924,75964,75972</link.rule.ids></links><search><creatorcontrib>Guo, Pengbin</creatorcontrib><creatorcontrib>Sun, Jian</creatorcontrib><creatorcontrib>Hu, Shuling</creatorcontrib><creatorcontrib>Xue, Ju</creatorcontrib><title>Multirate Observation-Based X-Ray Pulsar Navigation Technique</title><title>Journal of aerospace engineering</title><description>AbstractX-ray pulsar navigation techniques can provide the information of position and velocity for spacecraft and have proven to be an extremely promising autonomous navigation solution. Currently, one of the main problems of pulsar navigation is that the update rate of the measurement data is low. In this paper, a multirate observation pulsar navigation model is proposed to improve the update rate of measurement data. To solve the uncertainty of the measured angles in the multirate observation model of pulsar navigation, a robust extended Kalman filter (REKF) is also proposed. In order to verify the effectiveness of the model and filtering algorithm, the root-mean square (RMS) errors of the REKF for multirate observation model is compared with the extended Kalman filter (EKF) for a multirate observation model and REKF for a synchronous observation model. The simulations results show that the proposed multirate observation model and REKF are valid to improve navigation accuracy.</description><subject>Algorithms</subject><subject>Autonomous navigation</subject><subject>Computer simulation</subject><subject>Extended Kalman filter</subject><subject>Filtering</subject><subject>Navigation</subject><subject>Pulsars</subject><subject>Technical Papers</subject><subject>X-rays</subject><issn>0893-1321</issn><issn>1943-5525</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNp1kE1PwzAMhiMEEmPwHypO45DhNE3aInEY0_iQBkNsSNyiNEmhU9eOpJ20f0-6Tbvhgy3Zfl_LD0LXBIYEOLkdjObjyc1oPiRpRDFjIRuCD875Ceode6eoB0lKMaEhOUcXzi0BSMTTsIfuX9uyKaxsTDDLnLEb2RR1hR-kMzr4wh9yG7y3pZM2eJOb4ns3DRZG_VTFb2su0VkuS2euDrWPPh8ni_Ezns6eXsajKZY0ChusiU5Izk3IMgqQ8sTEKs0NUBKziIGOYwZ5wjOqOFUxpzo1MtORjoApKnVC-2iw913b2p91jVgVTpmylJWpWydIksAuYr96t19VtnbOmlysbbGSdisIiI6ZEB0zn0THR3R8xIGZF_O9WHp3saxbW_m3jsr_hX-w22-H</recordid><startdate>20170101</startdate><enddate>20170101</enddate><creator>Guo, Pengbin</creator><creator>Sun, Jian</creator><creator>Hu, Shuling</creator><creator>Xue, Ju</creator><general>American Society of Civil Engineers</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>KR7</scope><scope>L7M</scope></search><sort><creationdate>20170101</creationdate><title>Multirate Observation-Based X-Ray Pulsar Navigation Technique</title><author>Guo, Pengbin ; Sun, Jian ; Hu, Shuling ; Xue, Ju</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a342t-d1d81f6e25b300968e7c9fe03175450d7750f86b3c63c763d9eabd4d405c3ad83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Algorithms</topic><topic>Autonomous navigation</topic><topic>Computer simulation</topic><topic>Extended Kalman filter</topic><topic>Filtering</topic><topic>Navigation</topic><topic>Pulsars</topic><topic>Technical Papers</topic><topic>X-rays</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Guo, Pengbin</creatorcontrib><creatorcontrib>Sun, Jian</creatorcontrib><creatorcontrib>Hu, Shuling</creatorcontrib><creatorcontrib>Xue, Ju</creatorcontrib><collection>CrossRef</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Journal of aerospace engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Guo, Pengbin</au><au>Sun, Jian</au><au>Hu, Shuling</au><au>Xue, Ju</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multirate Observation-Based X-Ray Pulsar Navigation Technique</atitle><jtitle>Journal of aerospace engineering</jtitle><date>2017-01-01</date><risdate>2017</risdate><volume>30</volume><issue>1</issue><issn>0893-1321</issn><eissn>1943-5525</eissn><abstract>AbstractX-ray pulsar navigation techniques can provide the information of position and velocity for spacecraft and have proven to be an extremely promising autonomous navigation solution. Currently, one of the main problems of pulsar navigation is that the update rate of the measurement data is low. In this paper, a multirate observation pulsar navigation model is proposed to improve the update rate of measurement data. To solve the uncertainty of the measured angles in the multirate observation model of pulsar navigation, a robust extended Kalman filter (REKF) is also proposed. In order to verify the effectiveness of the model and filtering algorithm, the root-mean square (RMS) errors of the REKF for multirate observation model is compared with the extended Kalman filter (EKF) for a multirate observation model and REKF for a synchronous observation model. The simulations results show that the proposed multirate observation model and REKF are valid to improve navigation accuracy.</abstract><pub>American Society of Civil Engineers</pub><doi>10.1061/(ASCE)AS.1943-5525.0000666</doi></addata></record> |
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subjects | Algorithms Autonomous navigation Computer simulation Extended Kalman filter Filtering Navigation Pulsars Technical Papers X-rays |
title | Multirate Observation-Based X-Ray Pulsar Navigation Technique |
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