Sparse direct adaptive equalization based on proportionate recursive least squares algorithm for multiple-input multiple-output underwater acoustic communications
In this paper, the sparse direct adaptive equalization based on the recently developed proportionate recursive least squares (PRLS) adaptive filtering algorithm is investigated for multiple-input multiple-output (MIMO) underwater acoustic (UWA) communications. First, performance analysis is made for...
Uloženo v:
| Vydáno v: | The Journal of the Acoustical Society of America Ročník 148; číslo 4; s. 2280 |
|---|---|
| Hlavní autoři: | , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
01.10.2020
|
| ISSN: | 1520-8524, 1520-8524 |
| On-line přístup: | Zjistit podrobnosti o přístupu |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | In this paper, the sparse direct adaptive equalization based on the recently developed proportionate recursive least squares (PRLS) adaptive filtering algorithm is investigated for multiple-input multiple-output (MIMO) underwater acoustic (UWA) communications. First, performance analysis is made for the PRLS, and simulation results show its gain over a standard recursive least squares algorithm under sparse systems. The fast implementation of the PRLS, named the proportionate stable fast transversal filters (PSFTF), is revisited to implement a direct adaptive decision-feedback equalizer which outperforms the existing PSFTF direct adaptive linear equalizer. The PSFTF direct adaptive equalizers (DAEs) are then compared with the selective zero-attracting stable fast transversal filter DAEs (SZA-SFTF-DAEs) enabled by the SZA-SFTF adaptive filtering algorithm. The SZA-SFTF algorithm is designed with the zero-attracting sparsity-promoting principle, which is in parallel to the proportionate updating principle used to design the PSFTF algorithm. Experimental results of an at-sea MIMO UWA communication trial show that PSFTF-DAEs outperform the SZA-SFTF-DAEs.In this paper, the sparse direct adaptive equalization based on the recently developed proportionate recursive least squares (PRLS) adaptive filtering algorithm is investigated for multiple-input multiple-output (MIMO) underwater acoustic (UWA) communications. First, performance analysis is made for the PRLS, and simulation results show its gain over a standard recursive least squares algorithm under sparse systems. The fast implementation of the PRLS, named the proportionate stable fast transversal filters (PSFTF), is revisited to implement a direct adaptive decision-feedback equalizer which outperforms the existing PSFTF direct adaptive linear equalizer. The PSFTF direct adaptive equalizers (DAEs) are then compared with the selective zero-attracting stable fast transversal filter DAEs (SZA-SFTF-DAEs) enabled by the SZA-SFTF adaptive filtering algorithm. The SZA-SFTF algorithm is designed with the zero-attracting sparsity-promoting principle, which is in parallel to the proportionate updating principle used to design the PSFTF algorithm. Experimental results of an at-sea MIMO UWA communication trial show that PSFTF-DAEs outperform the SZA-SFTF-DAEs. |
|---|---|
| AbstractList | In this paper, the sparse direct adaptive equalization based on the recently developed proportionate recursive least squares (PRLS) adaptive filtering algorithm is investigated for multiple-input multiple-output (MIMO) underwater acoustic (UWA) communications. First, performance analysis is made for the PRLS, and simulation results show its gain over a standard recursive least squares algorithm under sparse systems. The fast implementation of the PRLS, named the proportionate stable fast transversal filters (PSFTF), is revisited to implement a direct adaptive decision-feedback equalizer which outperforms the existing PSFTF direct adaptive linear equalizer. The PSFTF direct adaptive equalizers (DAEs) are then compared with the selective zero-attracting stable fast transversal filter DAEs (SZA-SFTF-DAEs) enabled by the SZA-SFTF adaptive filtering algorithm. The SZA-SFTF algorithm is designed with the zero-attracting sparsity-promoting principle, which is in parallel to the proportionate updating principle used to design the PSFTF algorithm. Experimental results of an at-sea MIMO UWA communication trial show that PSFTF-DAEs outperform the SZA-SFTF-DAEs.In this paper, the sparse direct adaptive equalization based on the recently developed proportionate recursive least squares (PRLS) adaptive filtering algorithm is investigated for multiple-input multiple-output (MIMO) underwater acoustic (UWA) communications. First, performance analysis is made for the PRLS, and simulation results show its gain over a standard recursive least squares algorithm under sparse systems. The fast implementation of the PRLS, named the proportionate stable fast transversal filters (PSFTF), is revisited to implement a direct adaptive decision-feedback equalizer which outperforms the existing PSFTF direct adaptive linear equalizer. The PSFTF direct adaptive equalizers (DAEs) are then compared with the selective zero-attracting stable fast transversal filter DAEs (SZA-SFTF-DAEs) enabled by the SZA-SFTF adaptive filtering algorithm. The SZA-SFTF algorithm is designed with the zero-attracting sparsity-promoting principle, which is in parallel to the proportionate updating principle used to design the PSFTF algorithm. Experimental results of an at-sea MIMO UWA communication trial show that PSFTF-DAEs outperform the SZA-SFTF-DAEs. |
| Author | Han, Xiao Tao, Jun Qin, Zhen |
| Author_xml | – sequence: 1 givenname: Zhen surname: Qin fullname: Qin, Zhen – sequence: 2 givenname: Jun surname: Tao fullname: Tao, Jun – sequence: 3 givenname: Xiao surname: Han fullname: Han, Xiao |
| BookMark | eNpNT8tOwzAQtFCRaAsXvsBHLoF4G8fxEVW8pEocgHPlOBswcuLUD5D4HL4UF5DgNDOrmdndBZmNbkRCTll5zhiwi4xlWQKI-oDMGYeyaDhUs3_8iCxCeM0m3qzknHw-TMoHpJ3xqCNVnZqieUOKu6Ss-VDRuJG2KmBHM5m8m5zfz1REmhPJh73bogqRhpzxGKiyz86b-DLQ3nk6JBvNZLEw45Tin3Qp7nUaO_Tvuc5TpV0K0Wiq3TCk0ejv7eGYHPbKBjz5xSV5ur56XN8Wm_ubu_XlptCrVR0L1regmeaca-i1aHtkWEkpRSfrVsoSG8GlEn0FuuxED1BDK7XUrKtRtJWGJTn76c1f7hKGuB1M0GitGjEftoWKC2h4UzP4An7Uda0 |
| CitedBy_id | crossref_primary_10_1121_10_0003494 crossref_primary_10_1121_10_0010370 crossref_primary_10_1007_s11804_024_00387_5 crossref_primary_10_1016_j_dsp_2023_104073 crossref_primary_10_1016_j_apacoust_2022_108869 crossref_primary_10_1109_TVT_2024_3448197 crossref_primary_10_4218_etrij_2022_0036 crossref_primary_10_3390_app131911050 crossref_primary_10_1016_j_dsp_2021_103366 |
| ContentType | Journal Article |
| DBID | 7X8 |
| DOI | 10.1121/10.0002276 |
| DatabaseName | MEDLINE - Academic |
| DatabaseTitle | MEDLINE - Academic |
| DatabaseTitleList | MEDLINE - Academic |
| Database_xml | – sequence: 1 dbid: 7X8 name: MEDLINE - Academic url: https://search.proquest.com/medline sourceTypes: Aggregation Database |
| DeliveryMethod | no_fulltext_linktorsrc |
| Discipline | Physics |
| EISSN | 1520-8524 |
| GroupedDBID | --- --Z -~X .DC 123 29L 4.4 5-Q 5RE 5VS 7X8 85S AAAAW AAGWI AAPUP AAYIH ABDNZ ABJGX ABJNI ABNAN ABPPZ ABZEH ACBRY ACCUC ACGFO ACGFS ACNCT ADCTM ADMLS AEGXH AENEX AFFNX AFHCQ AGKCL AGLKD AGMXG AGTJO AGVCI AHSDT AIAGR AIDUJ ALMA_UNASSIGNED_HOLDINGS AQWKA BAUXJ CS3 D0L DU5 EBS F5P H~9 M71 M73 P2P RAZ RIP RNS RQS SC5 SJN TN5 TWZ UHB UPT UQL WH7 XSW YQT ~02 |
| ID | FETCH-LOGICAL-c336t-1fb2c1c555c2fc7bfe1e49997d96b990e8759a7f42c0d7f2262b9c9c1d6e7b4c2 |
| IEDL.DBID | 7X8 |
| ISICitedReferencesCount | 10 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000586465200002&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1520-8524 |
| IngestDate | Fri Sep 05 06:24:01 EDT 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 4 |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c336t-1fb2c1c555c2fc7bfe1e49997d96b990e8759a7f42c0d7f2262b9c9c1d6e7b4c2 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| PQID | 2457285861 |
| PQPubID | 23479 |
| ParticipantIDs | proquest_miscellaneous_2457285861 |
| PublicationCentury | 2000 |
| PublicationDate | 20201001 |
| PublicationDateYYYYMMDD | 2020-10-01 |
| PublicationDate_xml | – month: 10 year: 2020 text: 20201001 day: 01 |
| PublicationDecade | 2020 |
| PublicationTitle | The Journal of the Acoustical Society of America |
| PublicationYear | 2020 |
| SSID | ssj0005839 |
| Score | 2.3903072 |
| Snippet | In this paper, the sparse direct adaptive equalization based on the recently developed proportionate recursive least squares (PRLS) adaptive filtering... |
| SourceID | proquest |
| SourceType | Aggregation Database |
| StartPage | 2280 |
| Title | Sparse direct adaptive equalization based on proportionate recursive least squares algorithm for multiple-input multiple-output underwater acoustic communications |
| URI | https://www.proquest.com/docview/2457285861 |
| Volume | 148 |
| WOSCitedRecordID | wos000586465200002&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Ni9swEBVt04W99HNLt9sWFXoViWTLsk6llA09hUJ3IbcgjaQ2kDqu7bT_Z3_pzigOKexloTcLbCOM_N7M6I0eYx8tsXi0kjbdgygrF4TzhRPJITcFgFK7kM0mzGJRL5f221hw60dZ5QETM1CHLVCNfKpKbVSt60p-an8Lco2i3dXRQuMhmxQYypCkyyyPp4XrOjuJIUXNRK1VOR5PKpWcZkUXHZ9X3QHhzCzzp_87p2fsyRhT8s_7RfCcPYjNC3aStZ3Qv2Q331vMXiPfsxd3wbWEcTzmhsp9GyYnNgscL1qyTehyhXCIvKNyPCnc-YZMfniPz2CCzt3mB05k-PmLY9DLD6pEsW7a3XAcbncDjalPrfuLr-s44m-2D-Pwb2NKf8au55dXX76K0ZpBQFFUg5DJK5CgtQaVwPgUZaTcyQRbeSS4iGmQdSaVCmbBJIzxlLdgQYYqGl-CesUeNdsmvma8ArDRm9pqj0zpvE116Qxiw0zWiL3xnH04fPwVLn3az3BNxMmujp__zT3uuWCninLlLMR7yyYJf-_4jj2GP8O6797nlXML1l3VCQ |
| linkProvider | ProQuest |
| 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=Sparse+direct+adaptive+equalization+based+on+proportionate+recursive+least+squares+algorithm+for+multiple-input+multiple-output+underwater+acoustic+communications&rft.jtitle=The+Journal+of+the+Acoustical+Society+of+America&rft.au=Qin%2C+Zhen&rft.au=Tao%2C+Jun&rft.au=Han%2C+Xiao&rft.date=2020-10-01&rft.issn=1520-8524&rft.eissn=1520-8524&rft.volume=148&rft.issue=4&rft.spage=2280&rft_id=info:doi/10.1121%2F10.0002276&rft.externalDBID=NO_FULL_TEXT |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1520-8524&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1520-8524&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1520-8524&client=summon |