An Adaptive IMM Algorithm for a PD Radar with Improved Maneuvering Target Tracking Performance
A pulse-Doppler (PD) radar has the advantage of strong anti-interference ability, and it is often used as a solution for maneuvering target tracking. In the application of target monitoring and tracking in PD radars, the interacting multiple model algorithm (IMM) has become the main and preferred ch...
Saved in:
| Published in | Remote sensing (Basel, Switzerland) Vol. 16; no. 6; p. 1051 |
|---|---|
| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Basel
MDPI AG
01.03.2024
|
| Subjects | |
| Online Access | Get full text |
| ISSN | 2072-4292 2072-4292 |
| DOI | 10.3390/rs16061051 |
Cover
| Abstract | A pulse-Doppler (PD) radar has the advantage of strong anti-interference ability, and it is often used as a solution for maneuvering target tracking. In the application of target monitoring and tracking in PD radars, the interacting multiple model algorithm (IMM) has become the main and preferred choice due to its flexibility and high accuracy. However, the probability transfer matrix in classical IMM algorithms generally depends on constant prior knowledge, and if a PD radar is tracking a strong maneuvering target, it is inevitable to encounter some limitations, such as the possibility of target tracking trajectory deviation, and even a loss of the target. The Markov probability transfer matrix is proposed with an adaptive modification ability in real time to overcome the above problems in this paper. Additionally, for improving the speed of switching between the models, the fuzzy control system for secondary updating of model probability is adopted. By this means, the tracking accuracy of maneuvering targets is enhanced. Compared with the classical IMM algorithm, the corresponding simulation results for the PD radar indicate that the overall tracking accuracy of the proposed adaptive IMM algorithm is improved by 19.6%. In conclusion, the continuity and accuracy of the target trajectory can be effectively improved with the proposed adaptive IMM algorithm in PD radar cases. |
|---|---|
| AbstractList | A pulse-Doppler (PD) radar has the advantage of strong anti-interference ability, and it is often used as a solution for maneuvering target tracking. In the application of target monitoring and tracking in PD radars, the interacting multiple model algorithm (IMM) has become the main and preferred choice due to its flexibility and high accuracy. However, the probability transfer matrix in classical IMM algorithms generally depends on constant prior knowledge, and if a PD radar is tracking a strong maneuvering target, it is inevitable to encounter some limitations, such as the possibility of target tracking trajectory deviation, and even a loss of the target. The Markov probability transfer matrix is proposed with an adaptive modification ability in real time to overcome the above problems in this paper. Additionally, for improving the speed of switching between the models, the fuzzy control system for secondary updating of model probability is adopted. By this means, the tracking accuracy of maneuvering targets is enhanced. Compared with the classical IMM algorithm, the corresponding simulation results for the PD radar indicate that the overall tracking accuracy of the proposed adaptive IMM algorithm is improved by 19.6%. In conclusion, the continuity and accuracy of the target trajectory can be effectively improved with the proposed adaptive IMM algorithm in PD radar cases. |
| Audience | Academic |
| Author | Xu, Wenwen Xu, Dalong Xiao, Jiankang Cao, Jianyin Wang, Hao |
| Author_xml | – sequence: 1 givenname: Wenwen surname: Xu fullname: Xu, Wenwen – sequence: 2 givenname: Jiankang surname: Xiao fullname: Xiao, Jiankang – sequence: 3 givenname: Dalong surname: Xu fullname: Xu, Dalong – sequence: 4 givenname: Hao orcidid: 0000-0001-8207-9055 surname: Wang fullname: Wang, Hao – sequence: 5 givenname: Jianyin surname: Cao fullname: Cao, Jianyin |
| BookMark | eNp9kU1v1DAQhiNUpJbSS3-BJS4ItMVf-TpGLbQrddUKLVeiWWccvCT24iRb9d8zSxCgCtU-2B498874nVfJkQ8ek-Rc8AulSv4hDiLjmeCpeJGcSJ7LhZalPPrnfpycDcOW01JKlFyfJF8rz6oGdqPbI1uuVqzq2hDd-K1nNkQG7P6KfYYGInugIFv2uxj22LAVeJz2GJ1v2RpiiyNbRzDfD-97jJTbgzf4OnlpoRvw7Pd5mnz59HF9ebO4vbteXla3C6OVGhfKlqlOM7FRRggQRZYKzHMtdZ4a2RRaWF0YQKk3ynJlZK615GXB0VjIwHB1mixn3SbAtt5F10N8rAO4-lcgxLaGODrTYS2Rq0JI3JhS6UYUJRXIBWoohOGQW9J6P2tNfgePD9B1fwQFrw9O13-dJvrtTJMxPyYcxrp3g8GuI4PCNNSKa65VrnhG6Jsn6DZM0ZMvRHFFX6KpEHUxUy1Qt87bMJKxtBvsnaGJW0fxKi8KmSqVHmTfzQkmhmGIaJ9vlz-BjRthdMFTFdf9L-Un8le3Jw |
| CitedBy_id | crossref_primary_10_3390_aerospace11050413 crossref_primary_10_3390_s24227270 |
| Cites_doi | 10.1016/j.proeng.2012.01.630 10.1109/TVT.2008.928649 10.1109/ICAACI50733.2020.00010 10.1109/TAES.2015.140542 10.1109/ICNSC.2019.8743212 10.1016/j.dsp.2022.103529 10.1049/iet-spr.2019.0166 10.3390/rs15235543 10.1109/JSEN.2018.2873357 10.1109/TSMC.2019.2922305 10.1109/JAS.2023.123012 10.1109/IC2IE53219.2021.9649198 10.1109/TVT.2014.2329497 10.1109/TVT.2021.3093063 10.3390/rs15184513 10.1109/TIP.2017.2779856 10.1155/2021/2993675 10.3390/rs15010002 10.1002/tee.23575 10.1049/iet-rsn.2019.0416 10.1109/ACCESS.2019.2912983 10.23919/JSEE.2022.000075 10.23919/JSEE.2020.000089 10.1109/TAES.2013.6404088 10.1109/IMCEC51613.2021.9482112 10.1109/TAC.2016.2558156 |
| ContentType | Journal Article |
| Copyright | COPYRIGHT 2024 MDPI AG 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| Copyright_xml | – notice: COPYRIGHT 2024 MDPI AG – notice: 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| DBID | AAYXX CITATION 7QF 7QO 7QQ 7QR 7SC 7SE 7SN 7SP 7SR 7TA 7TB 7U5 8BQ 8FD 8FE 8FG ABJCF ABUWG AFKRA ARAPS AZQEC BENPR BGLVJ BHPHI BKSAR C1K CCPQU DWQXO F28 FR3 H8D H8G HCIFZ JG9 JQ2 KR7 L6V L7M L~C L~D M7S P5Z P62 P64 PCBAR PHGZM PHGZT PIMPY PKEHL PQEST PQGLB PQQKQ PQUKI PRINS PTHSS 7S9 L.6 ADTOC UNPAY DOA |
| DOI | 10.3390/rs16061051 |
| DatabaseName | CrossRef Aluminium Industry Abstracts Biotechnology Research Abstracts Ceramic Abstracts Chemoreception Abstracts Computer and Information Systems Abstracts Corrosion Abstracts Ecology Abstracts Electronics & Communications Abstracts Engineered Materials Abstracts Materials Business File Mechanical & Transportation Engineering Abstracts Solid State and Superconductivity Abstracts METADEX Technology Research Database ProQuest SciTech Collection ProQuest Technology Collection Materials Science & Engineering Collection ProQuest Central (Alumni) ProQuest Central UK/Ireland Advanced Technologies & Computer Science Collection ProQuest Central Essentials ProQuest Central Technology Collection Natural Science Collection Earth, Atmospheric & Aquatic Science Collection Environmental Sciences and Pollution Management ProQuest One Community College ProQuest Central ANTE: Abstracts in New Technology & Engineering Engineering Research Database Aerospace Database Copper Technical Reference Library Proquest SciTech Premium Collection Materials Research Database ProQuest Computer Science Collection Civil Engineering Abstracts ProQuest Engineering Collection Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional Engineering Database Advanced Technologies & Aerospace Database ProQuest Advanced Technologies & Aerospace Collection Biotechnology and BioEngineering Abstracts Earth, Atmospheric & Aquatic Science Database ProQuest Central Premium ProQuest One Academic ProQuest Publicly Available Content Database ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central China Engineering Collection AGRICOLA AGRICOLA - Academic Unpaywall for CDI: Periodical Content Unpaywall DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef Publicly Available Content Database Materials Research Database ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Essentials ProQuest Computer Science Collection Computer and Information Systems Abstracts SciTech Premium Collection ProQuest Central China Materials Business File Environmental Sciences and Pollution Management ProQuest One Applied & Life Sciences Engineered Materials Abstracts Natural Science Collection Chemoreception Abstracts ProQuest Central (New) Engineering Collection ANTE: Abstracts in New Technology & Engineering Advanced Technologies & Aerospace Collection Engineering Database Aluminium Industry Abstracts ProQuest One Academic Eastern Edition Electronics & Communications Abstracts Earth, Atmospheric & Aquatic Science Database ProQuest Technology Collection Ceramic Abstracts Ecology Abstracts Biotechnology and BioEngineering Abstracts ProQuest One Academic UKI Edition Solid State and Superconductivity Abstracts Engineering Research Database ProQuest One Academic ProQuest One Academic (New) Technology Collection Technology Research Database Computer and Information Systems Abstracts – Academic ProQuest One Academic Middle East (New) Mechanical & Transportation Engineering Abstracts ProQuest Central (Alumni Edition) ProQuest One Community College Earth, Atmospheric & Aquatic Science Collection ProQuest Central Aerospace Database Copper Technical Reference Library ProQuest Engineering Collection Biotechnology Research Abstracts ProQuest Central Korea Advanced Technologies Database with Aerospace Civil Engineering Abstracts ProQuest SciTech Collection METADEX Computer and Information Systems Abstracts Professional Advanced Technologies & Aerospace Database Materials Science & Engineering Collection Corrosion Abstracts AGRICOLA AGRICOLA - Academic |
| DatabaseTitleList | Publicly Available Content Database CrossRef AGRICOLA |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: UNPAY name: Unpaywall url: https://proxy.k.utb.cz/login?url=https://unpaywall.org/ sourceTypes: Open Access Repository – sequence: 3 dbid: 8FG name: ProQuest Technology Collection url: https://search.proquest.com/technologycollection1 sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Geography |
| EISSN | 2072-4292 |
| ExternalDocumentID | oai_doaj_org_article_2e03812ebc934d1892d871e4a81c0a7f 10.3390/rs16061051 A788253356 10_3390_rs16061051 |
| GeographicLocations | China |
| GeographicLocations_xml | – name: China |
| GroupedDBID | 29P 2WC 2XV 5VS 8FE 8FG 8FH AADQD AAHBH AAYXX ABDBF ABJCF ACUHS ADBBV ADMLS AENEX AFKRA AFZYC ALMA_UNASSIGNED_HOLDINGS ARAPS BCNDV BENPR BGLVJ BHPHI BKSAR CCPQU CITATION E3Z ESX FRP GROUPED_DOAJ HCIFZ I-F IAO ITC KQ8 L6V LK5 M7R M7S MODMG M~E OK1 P62 PCBAR PHGZM PHGZT PIMPY PQGLB PROAC PTHSS TR2 TUS 7QF 7QO 7QQ 7QR 7SC 7SE 7SN 7SP 7SR 7TA 7TB 7U5 8BQ 8FD ABUWG AZQEC C1K DWQXO F28 FR3 H8D H8G JG9 JQ2 KR7 L7M L~C L~D P64 PKEHL PQEST PQQKQ PQUKI PRINS 7S9 L.6 PUEGO ADTOC C1A IPNFZ RIG UNPAY |
| ID | FETCH-LOGICAL-c433t-3f954561b3c11a18651e7742475c2d841f48cae24b3f03c274420980ecfa6ac03 |
| IEDL.DBID | DOA |
| ISSN | 2072-4292 |
| IngestDate | Tue Oct 14 19:09:11 EDT 2025 Tue Aug 19 19:42:22 EDT 2025 Thu Oct 02 10:25:05 EDT 2025 Fri Jul 25 09:38:10 EDT 2025 Mon Oct 20 16:52:41 EDT 2025 Thu Apr 24 23:13:14 EDT 2025 Thu Oct 16 04:41:18 EDT 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 6 |
| Language | English |
| License | cc-by |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c433t-3f954561b3c11a18651e7742475c2d841f48cae24b3f03c274420980ecfa6ac03 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
| ORCID | 0000-0001-8207-9055 |
| OpenAccessLink | https://doaj.org/article/2e03812ebc934d1892d871e4a81c0a7f |
| PQID | 3003420331 |
| PQPubID | 2032338 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_2e03812ebc934d1892d871e4a81c0a7f unpaywall_primary_10_3390_rs16061051 proquest_miscellaneous_3040437306 proquest_journals_3003420331 gale_infotracacademiconefile_A788253356 crossref_primary_10_3390_rs16061051 crossref_citationtrail_10_3390_rs16061051 |
| PublicationCentury | 2000 |
| PublicationDate | 2024-03-01 |
| PublicationDateYYYYMMDD | 2024-03-01 |
| PublicationDate_xml | – month: 03 year: 2024 text: 2024-03-01 day: 01 |
| PublicationDecade | 2020 |
| PublicationPlace | Basel |
| PublicationPlace_xml | – name: Basel |
| PublicationTitle | Remote sensing (Basel, Switzerland) |
| PublicationYear | 2024 |
| Publisher | MDPI AG |
| Publisher_xml | – name: MDPI AG |
| References | Du (ref_27) 2021; 4 Hwang (ref_14) 2017; 62 Dong (ref_17) 2021; 70 Li (ref_29) 2016; 17 ref_10 ref_32 ref_30 Yuan (ref_11) 2022; 33 Xie (ref_3) 2021; 51 ref_16 RadhikaM (ref_21) 2020; 63 (ref_1) 2013; 35 Jiang (ref_28) 2018; 27 Li (ref_15) 2015; 51 Peng (ref_5) 2020; 31 Zhou (ref_33) 2013; 28 Xu (ref_13) 2017; 45 Chen (ref_24) 2009; 58 ref_25 ref_22 Guo (ref_31) 2022; 17 Kim (ref_26) 2015; 64 ref_2 Ge (ref_18) 2023; 10 Jondhale (ref_19) 2019; 19 Rui (ref_12) 2010; 38 ref_8 Baidoo (ref_20) 2020; 14 Shmaliy (ref_23) 2020; 14 Lan (ref_9) 2013; 49 ref_4 Han (ref_6) 2019; 7 Lu (ref_7) 2022; 127 |
| References_xml | – ident: ref_30 – ident: ref_8 doi: 10.1016/j.proeng.2012.01.630 – volume: 58 start-page: 1157 year: 2009 ident: ref_24 article-title: Mobile Location Estimator in a Rough Wireless Environment Using Extended Kalman-Based IMM and Data Fusion publication-title: IEEE Trans. Veh. Technol. doi: 10.1109/TVT.2008.928649 – ident: ref_25 doi: 10.1109/ICAACI50733.2020.00010 – volume: 51 start-page: 1811 year: 2015 ident: ref_15 article-title: An Information Theoretic Approach to Interacting Multiple Model Estimation publication-title: IEEE Trans. Aerosp. Electron. Syst. doi: 10.1109/TAES.2015.140542 – ident: ref_4 doi: 10.1109/ICNSC.2019.8743212 – volume: 127 start-page: 103529 year: 2022 ident: ref_7 article-title: An adaptive IMM filter for jump Markov systems with inaccurate noise covariances in the presence of missing measurements publication-title: Digit. Signal Process. doi: 10.1016/j.dsp.2022.103529 – volume: 14 start-page: 64 year: 2020 ident: ref_23 article-title: Kalman and UFIR state estimation with coloured measurement noise using backward Euler method publication-title: Iet Signal Process. doi: 10.1049/iet-spr.2019.0166 – volume: 17 start-page: 53.1 year: 2016 ident: ref_29 article-title: A Novel Adaptive Markov Matrix IMM Algorithm using Multi-Sensor Fusion publication-title: Int. J. Simul. Syst. Sci. Technol. – ident: ref_10 doi: 10.3390/rs15235543 – volume: 19 start-page: 224 year: 2019 ident: ref_19 article-title: Kalman Filtering Framework-Based Real Time Target Tracking in Wireless Sensor Networks Using Generalized Regression Neural Networks publication-title: IEEE Sens. J. doi: 10.1109/JSEN.2018.2873357 – volume: 51 start-page: 2980 year: 2021 ident: ref_3 article-title: Adaptive Transition Probability Matrix-Based Parallel IMM Algorithm publication-title: IEEE Trans. Syst. Man Cybern. Syst. doi: 10.1109/TSMC.2019.2922305 – volume: 10 start-page: 103 year: 2023 ident: ref_18 article-title: A Novel Adaptive Kalman Filter Based on Credibility Measure publication-title: IEEE CAA J. Autom. Sin. doi: 10.1109/JAS.2023.123012 – ident: ref_32 doi: 10.1109/IC2IE53219.2021.9649198 – volume: 64 start-page: 876 year: 2015 ident: ref_26 article-title: An IMM/EKF Approach for Enhanced Multitarget State Estimation for Application to Integrated Risk Management System publication-title: IEEE Trans. Veh. Technol. doi: 10.1109/TVT.2014.2329497 – volume: 35 start-page: 2269 year: 2013 ident: ref_1 article-title: Research on adaptive Markov matrix IMM tracking algorithm publication-title: Syst. Eng. Electron. – volume: 70 start-page: 7825 year: 2021 ident: ref_17 article-title: Multi-Maneuvering Sources DOA Tracking with Improved Interactive Multi-Model Multi-Bernoulli Filter for Acoustic Vector Sensor (AVS) Array publication-title: IEEE Trans. Veh. Technol. doi: 10.1109/TVT.2021.3093063 – volume: 38 start-page: 123 year: 2010 ident: ref_12 article-title: Target Tracking Algorithm Based on IMM/MSPDAF Data Fusion of Multi-Sensor publication-title: Mod. Def. Technol. – volume: 63 start-page: 1591 year: 2020 ident: ref_21 article-title: IMM-CKF and Posterior Cramér-Rao Lower Bound for a Highly Maneuvering Target publication-title: Solid State Technol. – ident: ref_16 doi: 10.3390/rs15184513 – volume: 28 start-page: 1226 year: 2013 ident: ref_33 article-title: Adaptive multiple-model tracking algorithm based on STC-IMM structure publication-title: Control Decis. – volume: 27 start-page: 1361 year: 2018 ident: ref_28 article-title: Multiple Pedestrian Tracking from Monocular Videos in an Interacting Multiple Model Framework publication-title: IEEE Trans. Image Process. doi: 10.1109/TIP.2017.2779856 – volume: 4 start-page: 2993675 year: 2021 ident: ref_27 article-title: Application of Improved Interactive Multimodel Algorithm in Player Trajectory Feature Matching publication-title: Complexity doi: 10.1155/2021/2993675 – ident: ref_2 doi: 10.3390/rs15010002 – volume: 17 start-page: 865 year: 2022 ident: ref_31 article-title: Maneuvering Target Tracking with Multi-Model Based on the Adaptive Structure publication-title: IEEJ Trans. Electr. Electron. Eng. doi: 10.1002/tee.23575 – volume: 14 start-page: 313 year: 2020 ident: ref_20 article-title: Kalman filtering method for sparse off-grid angle estimation for bistatic multiple-input multiple-output radar publication-title: Iet Radar Sonar Navig. doi: 10.1049/iet-rsn.2019.0416 – volume: 7 start-page: 57795 year: 2019 ident: ref_6 article-title: An Improved IMM Algorithm Based on STSRCKF for Maneuvering Target Tracking publication-title: IEEE Access doi: 10.1109/ACCESS.2019.2912983 – volume: 33 start-page: 867 year: 2022 ident: ref_11 article-title: Improved IMM algorithm based on support vector regression for UAV tracking publication-title: J. Syst. Eng. Electron. doi: 10.23919/JSEE.2022.000075 – volume: 31 start-page: 1167 year: 2020 ident: ref_5 article-title: De-correlated unbiased sequential filtering based on best unbiased linear estimation for target tracking in Doppler radar publication-title: J. Syst. Eng. Electron. doi: 10.23919/JSEE.2020.000089 – volume: 49 start-page: 3 year: 2013 ident: ref_9 article-title: Second-Order Markov Chain Based Multiple-Model Algorithm for Maneuvering Target Tracking publication-title: IEEE Trans. Aerosp. Electron. Syst. doi: 10.1109/TAES.2013.6404088 – volume: 45 start-page: 2113 year: 2017 ident: ref_13 article-title: Interacting Multiple Model Algorithm Based on Adaptive Transition Probability publication-title: Acta Electron. Sin. – ident: ref_22 doi: 10.1109/IMCEC51613.2021.9482112 – volume: 62 start-page: 901 year: 2017 ident: ref_14 article-title: A Study on Stability of the Interacting Multiple Model Algorithm publication-title: IEEE Trans. Autom. Control doi: 10.1109/TAC.2016.2558156 |
| SSID | ssj0000331904 |
| Score | 2.3863444 |
| Snippet | A pulse-Doppler (PD) radar has the advantage of strong anti-interference ability, and it is often used as a solution for maneuvering target tracking. In the... |
| SourceID | doaj unpaywall proquest gale crossref |
| SourceType | Open Website Open Access Repository Aggregation Database Enrichment Source Index Database |
| StartPage | 1051 |
| SubjectTerms | Accuracy Adaptive algorithms Algorithms Control systems Flexibility Fuzzy control interacting multiple model Interactive multiple model tracking Maneuvering targets Methods PD radar Probability probability transfer matrix Radar Radar systems Radar tracking Set design Signal processing target tracking Transfer matrices Unmanned aerial vehicles |
| SummonAdditionalLinks | – databaseName: ProQuest Central dbid: BENPR link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1Lb9QwEB6V7aFwQDzV0IKMqIQ4RLVj53VAKIVWBWlXq6qVeiKaOE57WLLLdreo_56ZvBYE6mUP2cnDHs_4m7H9DcBBQpOi06H0Y4eRb5B-Uixi35VaFlVBDrDkg8LjSXR6Yb5dhpdbMOnPwvC2yt4nNo66nFvOkR_qhqxOaq0-LX76XDWKV1f7EhrYlVYoPzYUYw9gO2BmrBFsHx1PpmdD1oXvT6VpeUo1xfuHyxtFGJ5QhvprZmoI_P91049gZ10v8O4XzmZ_zEMnT-BxByBF1mr8KWy5-hnsdLXMr--ew_esFlmJC_Zj4ut4LLLZFTVkdf1DEEAVKKZfxBmWuBScgxVtVsGVYoy1W982zITivNkfLmgis5xKF9PN8YIXcHFyfP751O-qKPjWaL3ydZU2KKnQVilUSRQqR5gvMHFogzIxqjKJRReYQldSW2YMDGSaSGcrjNBK_RJG9bx2uyCQggvmnFIqtcZal6rABkklXUWoN4rQgw99D-a2oxjnSheznEIN7u1809sevBtkFy2xxn-ljlgRgwSTYTcX5survLOtPHC83Bm4wqbalCpJqVmxcgYTZSXGlQfvWY05myx9jsXu5AE1ismv8iymMINgbxh5sN9rOu9s-SbfjDwP3g5_kxXy0gqpZr5mGdOQREl6xMEwQu5p2Kv737QHDwNCT-1mt30YrZZr95rQz6p40w3p32HJAVI priority: 102 providerName: ProQuest – databaseName: Unpaywall dbid: UNPAY link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Jb9QwFLZgeigcyloxpSAjKiEO6XiLk5xQWKqCNNUIdaRyITiO01YMmVEmKSq_nvcSz5RNCIlLDslzZOst_p6X7xGyF8Ok6GTIgsgZHSgDj8TkUeAKyfIyhwBY4EXh8ZE-nKp3J-GJr3O69McqIRU_74K0YJEIsJ7SiOuRBgcP-WhRlC8u_FISj_AVEohcJxs6BDA-IBvTo0n6AUvKrRr3pKQSkvtRveQA2LHRT9NQx9b_e0y-STbbamEuv5rZ7IdJ5-AW-bTqbn_W5PN-2-T79tsvTI7_MZ7bZMsDUpr2FnSHXHPVXbLpa6OfXd4jH9OKpoVZYFykb8djms5O5_V5c_aFAuClhk5e0_emMDXFNV3ar1K4go5N5dqLjumQHnfnzSlMjBaX5unk6rrCfTI9eHP86jDwVRkCq6RsAlkmHerKpeXc8FiH3AGGFCoKrShixUsVW-OEymXJpEUGQsGSmDlbGm0sk9tkUM0r94BQA8kKclhxnlhlrUu4sCIumSsBRWtthuT5SkmZ9ZTlWDljlkHqggrNrhQ6JE_XsoueqOOPUi9R12sJJNfuXszr08z7aiYcbp8Kl9tEqoLHCQwr4k6ZmFtmonJInqGlZBgCoDvW-JsMMCgk08rSCNIWgNGhHpLdlTFlPjYsM9nRLjIpoTdP1p_Bq3GrBlQzb1FGdaRTDH6xtzbCvwxs59_EHpIbAlBZf4hulwyaunWPAFU1-WPvOd8BsxkYag priority: 102 providerName: Unpaywall |
| Title | An Adaptive IMM Algorithm for a PD Radar with Improved Maneuvering Target Tracking Performance |
| URI | https://www.proquest.com/docview/3003420331 https://www.proquest.com/docview/3040437306 https://www.mdpi.com/2072-4292/16/6/1051/pdf?version=1710516123 https://doaj.org/article/2e03812ebc934d1892d871e4a81c0a7f |
| UnpaywallVersion | publishedVersion |
| Volume | 16 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVAFT databaseName: Open Access Digital Library customDbUrl: eissn: 2072-4292 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0000331904 issn: 2072-4292 databaseCode: KQ8 dateStart: 20090101 isFulltext: true titleUrlDefault: http://grweb.coalliance.org/oadl/oadl.html providerName: Colorado Alliance of Research Libraries – providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 2072-4292 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0000331904 issn: 2072-4292 databaseCode: DOA dateStart: 20090101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVEBS databaseName: Academic Search Ultimate - eBooks customDbUrl: https://search.ebscohost.com/login.aspx?authtype=ip,shib&custid=s3936755&profile=ehost&defaultdb=asn eissn: 2072-4292 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0000331904 issn: 2072-4292 databaseCode: ABDBF dateStart: 20091201 isFulltext: true titleUrlDefault: https://search.ebscohost.com/direct.asp?db=asn providerName: EBSCOhost – providerCode: PRVEBS databaseName: Inspec with Full Text customDbUrl: eissn: 2072-4292 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000331904 issn: 2072-4292 databaseCode: ADMLS dateStart: 20091201 isFulltext: true titleUrlDefault: https://www.ebsco.com/products/research-databases/inspec-full-text providerName: EBSCOhost – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources customDbUrl: eissn: 2072-4292 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0000331904 issn: 2072-4292 databaseCode: M~E dateStart: 20090101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: http://www.proquest.com/pqcentral?accountid=15518 eissn: 2072-4292 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0000331904 issn: 2072-4292 databaseCode: BENPR dateStart: 20090301 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Technology Collection customDbUrl: eissn: 2072-4292 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0000331904 issn: 2072-4292 databaseCode: 8FG dateStart: 20090301 isFulltext: true titleUrlDefault: https://search.proquest.com/technologycollection1 providerName: ProQuest |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lb9NAEB5BORQOFU_VtESLqIQ4WN2XHfvo0oaCSBSVRioXrPF6TQ_BidIE1H_PjO2mQSC4cLFle2Ttzs7OfLOPbwEOEgqK3kQy7HuMQ4t0SbHoh740sqgKcoAlbxQejuLTif1wEV1sHPXFa8JaeuBWcYfa81yW9oVLjS1VkuqSML63mCgnsV-x95VJupFMNT7YkGlJ2_KRGsrrDxdXirA6oQn1SwRqiPp_d8cPYHtVz_H6B06nG_Fm8BB2OqAosraAj-COrx_Ddndm-eX1E_iS1SIrcc7-SrwfDkU2_TqjVP_ymyAgKlCMj8UZlrgQPNYq2tEDX4oh1n71vWEgFOfNOnBBAcvxkLkY324jeAqTwcn529OwOy0hdNaYZWiqtEFDhXFKoUriSHnCdtr2I0c6s6qyiUOvbWEqaRwzA2qZJtK7CmN00jyDrXpW-10QSEkEc0splTrrnE-VdjqppK8I3cYxBvDmRoO566jE-USLaU4pBWs7v9V2AK_WsvOWQOOPUkfcEGsJJr1uXpAp5J0p5P8yhQBeczPm3DWpOA67HQZUKSa5yjNK9zXB2ygOYP-mpfOuz17lpqFDZMsJ4OX6M_U2nkKhppmtWMY2ZFCSfnGwtpC_VOz5_6jYHtzXhKXapW_7sLVcrPwLwkLLogd3k8G7HtzLjocfP9H96GQ0Pus1nYGeJqNx9vkn3rkI9Q |
| linkProvider | Directory of Open Access Journals |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9NAEB6V9hA4IJ4itMAiihAHq_uKH4cKubRVQpsoqlKpJ9z1et0egpPmQZU_x29jxnEcEKi3XnJIVo53Znfmm9mdbwB2Q3SKTrW4Fzjje9rgR2TSwHOZ4mmeogHMqFC42_Pb5_rbRetiA36tamHoWuXKJpaGOhtZypHvqZKsjislvoxvPOoaRaerqxYapmqtkO2XFGNVYceJW9xiCDfd7xyivj9KeXw0-Nr2qi4DntVKzTyVRyWKSJUVwojQbwmHmEjqoGVlFmqR69AaJ3Wqcq4sMepJHoXc2dz4xnKFz30AW1rpCIO_rYOjXv-szvLQ-0ZcL3lRlYr43mQqMGZAVCP-8oRlw4B_3cIjaMyLsVncmuHwD793_AQeV4CVxcsV9hQ2XPEMGlXv9OvFc_geFyzOzJjsJut0uyweXqHgZtc_GAJiZlj_kJ2ZzEwY5XzZMovhMtY1hZv_LJkQ2aC8j87QcVpK3bP-upzhBZzfizxfwmYxKtwrYAaDGeK4EiKy2loXCWllmHOXI8r2fdOEzysJJraiNKfOGsMEQxuSdrKWdhM-1GPHSyKP_446IEXUI4h8u_xiNLlKqr2cSEfHq9KlNlI6E2GE0wqE0yYUlpsgb8InUmNCJgJfx5qq0gEnRWRbSRxgWIMwu-U3YWel6aSyHdNkvdKb8L7-GXc9HeWgakZzGqNLUiqOj9itV8gdE3t99z-9g0Z70D1NTju9k214KBG5LS_a7cDmbDJ3bxB5zdK31fJmcHnfO-o3sf48bA |
| linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9NAEB6VIlE4IJ4iUGARRYiDlX3FjwNChhAaSqoItVJPNev1uj0EJ-RBlb_Gr2PGr4BAvfXig72yvTOz89qdbwD2QjSKTvW4Fzjje9rgJTJp4LlM8TRPUQFmVCg8OvT3j_Xnk97JFvxqamHoWGWjE0tFnU0t5ci7qgSr40qJbl4fixj3B-9mPzzqIEU7rU07jUpEDtz6AsO3xdthH3n9SsrBx6MP-17dYcCzWqmlp_Ko9CBSZYUwIvR7wqE_JHXQszILtch1aI2TOlU5V5bQ9CSPQu5sbnxjucL3XoPrAaG4U5X64FOb36E_jbiuEFGVinh3vhAYLaA_I_6ygWWrgH8Nwi3YWRUzs74wk8kfFm9wB27XriqLK9m6C1uuuAc7ddf08_V9OI0LFmdmRhqTDUcjFk_OkEzL8-8MXWFm2LjPvprMzBlle1mVv3AZG5nCrX6WGIjsqDyJztBkWkras_GmkOEBHF8JNR_CdjEt3CNgBsMYQrcSIrLaWhcJaWWYc5ejf-37pgNvGgomtgYzp54akwSDGqJ2sqF2B162Y2cVhMd_R70nRrQjCHa7vDGdnyX1Kk6ko41V6VIbKZ2JMMJpBcJpEwrLTZB34DWxMSHlgL9jTV3jgJMimK0kDjCgQQe753dgt-F0UmuNRbKR8Q68aB_jeqdNHGTNdEVjdAlHxfEVe62EXDKxx5d_6TncwHWUfBkeHjyBmxJdtuqE3S5sL-cr9xRdrmX6rJRtBt-uejH9BveTOgY |
| linkToUnpaywall | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Jb9QwFLZgeigcyloxpSAjKiEO6XiLk5xQWKqCNNUIdaRyITiO01YMmVEmKSq_nvcSz5RNCIlLDslzZOst_p6X7xGyF8Ok6GTIgsgZHSgDj8TkUeAKyfIyhwBY4EXh8ZE-nKp3J-GJr3O69McqIRU_74K0YJEIsJ7SiOuRBgcP-WhRlC8u_FISj_AVEohcJxs6BDA-IBvTo0n6AUvKrRr3pKQSkvtRveQA2LHRT9NQx9b_e0y-STbbamEuv5rZ7IdJ5-AW-bTqbn_W5PN-2-T79tsvTI7_MZ7bZMsDUpr2FnSHXHPVXbLpa6OfXd4jH9OKpoVZYFykb8djms5O5_V5c_aFAuClhk5e0_emMDXFNV3ar1K4go5N5dqLjumQHnfnzSlMjBaX5unk6rrCfTI9eHP86jDwVRkCq6RsAlkmHerKpeXc8FiH3AGGFCoKrShixUsVW-OEymXJpEUGQsGSmDlbGm0sk9tkUM0r94BQA8kKclhxnlhlrUu4sCIumSsBRWtthuT5SkmZ9ZTlWDljlkHqggrNrhQ6JE_XsoueqOOPUi9R12sJJNfuXszr08z7aiYcbp8Kl9tEqoLHCQwr4k6ZmFtmonJInqGlZBgCoDvW-JsMMCgk08rSCNIWgNGhHpLdlTFlPjYsM9nRLjIpoTdP1p_Bq3GrBlQzb1FGdaRTDH6xtzbCvwxs59_EHpIbAlBZf4hulwyaunWPAFU1-WPvOd8BsxkYag |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=An+Adaptive+IMM+Algorithm+for+a+PD+Radar+with+Improved+Maneuvering+Target+Tracking+Performance&rft.jtitle=Remote+sensing+%28Basel%2C+Switzerland%29&rft.au=Xu%2C+Wenwen&rft.au=Xiao%2C+Jiankang&rft.au=Xu%2C+Dalong&rft.au=Wang%2C+Hao&rft.date=2024-03-01&rft.issn=2072-4292&rft.eissn=2072-4292&rft.volume=16&rft.issue=6&rft.spage=1051&rft_id=info:doi/10.3390%2Frs16061051&rft.externalDBID=n%2Fa&rft.externalDocID=10_3390_rs16061051 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2072-4292&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2072-4292&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2072-4292&client=summon |