{"id":"https://openalex.org/W3204913995","doi":"https://doi.org/10.1109/globecom46510.2021.9685798","title":"Neural Augmentation of Kalman Filter with Hypernetwork for Channel Tracking","display_name":"Neural Augmentation of Kalman Filter with Hypernetwork for Channel Tracking","publication_year":2021,"publication_date":"2021-12-01","ids":{"openalex":"https://openalex.org/W3204913995","doi":"https://doi.org/10.1109/globecom46510.2021.9685798","mag":"3204913995"},"language":"en","primary_location":{"id":"doi:10.1109/globecom46510.2021.9685798","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom46510.2021.9685798","pdf_url":null,"source":{"id":"https://openalex.org/S4363607714","display_name":"2021 IEEE Global Communications Conference (GLOBECOM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Global Communications Conference (GLOBECOM)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2109.12561","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027915835","display_name":"Kumar Pratik","orcid":"https://orcid.org/0000-0003-1337-4629"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Kumar Pratik","raw_affiliation_strings":["Qualcomm Technologies Netherlands B.V., Qualcomm AI Research"],"affiliations":[{"raw_affiliation_string":"Qualcomm Technologies Netherlands B.V., Qualcomm AI Research","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041689212","display_name":"Rana Ali Amjad","orcid":"https://orcid.org/0000-0002-0007-4697"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rana Ali Amjad","raw_affiliation_strings":["Qualcomm Technologies Netherlands B.V., Qualcomm AI Research"],"affiliations":[{"raw_affiliation_string":"Qualcomm Technologies Netherlands B.V., Qualcomm AI Research","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083706779","display_name":"Arash Behboodi","orcid":"https://orcid.org/0000-0001-8229-2809"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Arash Behboodi","raw_affiliation_strings":["Qualcomm Technologies Netherlands B.V., Qualcomm AI Research"],"affiliations":[{"raw_affiliation_string":"Qualcomm Technologies Netherlands B.V., Qualcomm AI Research","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074574402","display_name":"Joseph B. Soriaga","orcid":null},"institutions":[{"id":"https://openalex.org/I19268510","display_name":"Qualcomm (United Kingdom)","ror":"https://ror.org/04d3djg48","country_code":"GB","type":"company","lineage":["https://openalex.org/I19268510","https://openalex.org/I4210087596"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Joseph B. Soriaga","raw_affiliation_strings":["Qualcomm Technologies, Inc., Qualcomm AI Research"],"affiliations":[{"raw_affiliation_string":"Qualcomm Technologies, Inc., Qualcomm AI Research","institution_ids":["https://openalex.org/I19268510"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087368991","display_name":"Max Welling","orcid":"https://orcid.org/0000-0003-1484-2121"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Max Welling","raw_affiliation_strings":["Qualcomm Technologies Netherlands B.V., Qualcomm AI Research"],"affiliations":[{"raw_affiliation_string":"Qualcomm Technologies Netherlands B.V., Qualcomm AI Research","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5027915835"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3962,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.84890491,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10040","display_name":"Adaptive Control of Nonlinear Systems","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.8717737793922424},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7226690649986267},{"id":"https://openalex.org/keywords/fast-kalman-filter","display_name":"Fast Kalman filter","score":0.6890163421630859},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.5563802719116211},{"id":"https://openalex.org/keywords/invariant-extended-kalman-filter","display_name":"Invariant extended Kalman filter","score":0.5504301190376282},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5396265387535095},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.530555248260498},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5017604827880859},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5004377365112305},{"id":"https://openalex.org/keywords/alpha-beta-filter","display_name":"Alpha beta filter","score":0.4681563377380371},{"id":"https://openalex.org/keywords/doppler-effect","display_name":"Doppler effect","score":0.4103812575340271},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40501341223716736},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34047192335128784},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2065332531929016},{"id":"https://openalex.org/keywords/moving-horizon-estimation","display_name":"Moving horizon estimation","score":0.13356944918632507},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08066052198410034},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.058245062828063965}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.8717737793922424},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7226690649986267},{"id":"https://openalex.org/C150679823","wikidata":"https://www.wikidata.org/wiki/Q5436946","display_name":"Fast Kalman filter","level":4,"score":0.6890163421630859},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.5563802719116211},{"id":"https://openalex.org/C8639503","wikidata":"https://www.wikidata.org/wiki/Q6059511","display_name":"Invariant extended Kalman filter","level":4,"score":0.5504301190376282},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5396265387535095},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.530555248260498},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5017604827880859},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5004377365112305},{"id":"https://openalex.org/C11588082","wikidata":"https://www.wikidata.org/wiki/Q4735154","display_name":"Alpha beta filter","level":5,"score":0.4681563377380371},{"id":"https://openalex.org/C142757262","wikidata":"https://www.wikidata.org/wiki/Q76436","display_name":"Doppler effect","level":2,"score":0.4103812575340271},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40501341223716736},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34047192335128784},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2065332531929016},{"id":"https://openalex.org/C50050547","wikidata":"https://www.wikidata.org/wiki/Q6927137","display_name":"Moving horizon estimation","level":4,"score":0.13356944918632507},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08066052198410034},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.058245062828063965},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/globecom46510.2021.9685798","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom46510.2021.9685798","pdf_url":null,"source":{"id":"https://openalex.org/S4363607714","display_name":"2021 IEEE Global Communications Conference (GLOBECOM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Global Communications Conference (GLOBECOM)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2109.12561","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2109.12561","pdf_url":"https://arxiv.org/pdf/2109.12561","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2109.12561","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2109.12561","pdf_url":"https://arxiv.org/pdf/2109.12561","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1539860142","https://openalex.org/W1959608418","https://openalex.org/W2160537350","https://openalex.org/W2663774998","https://openalex.org/W2767289645","https://openalex.org/W2889928394","https://openalex.org/W2963203809","https://openalex.org/W2964232608","https://openalex.org/W2970375342","https://openalex.org/W3093010610","https://openalex.org/W3094953545","https://openalex.org/W6640963894","https://openalex.org/W6711952718","https://openalex.org/W6728354068","https://openalex.org/W6754779804","https://openalex.org/W6763393335"],"related_works":["https://openalex.org/W2752451087","https://openalex.org/W2772311278","https://openalex.org/W4206024512","https://openalex.org/W2359845109","https://openalex.org/W1035502194","https://openalex.org/W2136719298","https://openalex.org/W2164981166","https://openalex.org/W763070688","https://openalex.org/W2911693460","https://openalex.org/W2354139686"],"abstract_inverted_index":{"We":[0],"propose":[1],"Hypernetwork":[2],"Kalman":[3,19,33,82,100],"Filter":[4],"(HKF)":[5],"for":[6,70],"tracking":[7,71],"applications":[8],"with":[9,21,85],"multiple":[10],"different":[11],"dynamics.":[12],"The":[13,102],"HKF":[14,44,66,103],"combines":[15],"generalization":[16],"power":[17,23],"of":[18,24,28,32,78],"filters":[20,34],"expressive":[22],"neural":[25],"networks.":[26],"Instead":[27],"keeping":[29],"a":[30,75],"bank":[31],"and":[35,111],"choosing":[36],"one":[37],"based":[38,50],"on":[39,51,58],"approximating":[40],"the":[41,52,65,72],"actual":[42],"dynamics,":[43],"adapts":[45],"itself":[46],"to":[47,106],"each":[48],"dynamics":[49],"observed":[53],"sequence.":[54],"Through":[55],"extensive":[56],"experiments":[57],"CDL-B":[59],"channel":[60,73],"model,":[61],"we":[62],"show":[63],"that":[64],"can":[67],"be":[68],"used":[69],"over":[74,98],"wide":[76],"range":[77],"Doppler":[79,87,91],"values,":[80,92],"matching":[81],"filter":[83],"performance":[84,120],"genie":[86,99],"information.":[88],"At":[89],"high":[90],"it":[93],"achieves":[94],"around":[95],"2dB":[96],"gain":[97],"filter.":[101],"generalizes":[104],"well":[105],"unseen":[107],"Doppler,":[108],"SNR":[109],"values":[110],"pilot":[112],"patterns":[113],"unlike":[114],"LSTM,":[115],"which":[116],"suffers":[117],"from":[118],"severe":[119],"degradation.":[121]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
