<?xml version="1.0" encoding="utf-8"?>
<TEI xmlns="http://www.tei-c.org/ns/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:hal="http://hal.archives-ouvertes.fr/" xmlns:gml="http://www.opengis.net/gml/3.3/" xmlns:gmlce="http://www.opengis.net/gml/3.3/ce" version="1.1" xsi:schemaLocation="http://www.tei-c.org/ns/1.0 http://api.archives-ouvertes.fr/documents/aofr-sword.xsd">
  <teiHeader>
    <fileDesc>
      <titleStmt>
        <title>HAL TEI export of hal-02072769</title>
      </titleStmt>
      <publicationStmt>
        <distributor>CCSD</distributor>
        <availability status="restricted">
          <licence target="https://creativecommons.org/publicdomain/zero/1.0/">CC0 1.0 - Universal</licence>
        </availability>
        <date when="2026-05-24T16:28:44+02:00"/>
      </publicationStmt>
      <sourceDesc>
        <p part="N">HAL API Platform</p>
      </sourceDesc>
    </fileDesc>
  </teiHeader>
  <text>
    <body>
      <listBibl>
        <biblFull>
          <titleStmt>
            <title xml:lang="en">Demodulation of Chaos Phase Modulation Spread Spectrum Signals Using Machine Learning Methods and Its Evaluation for Underwater Acoustic Communication</title>
            <author role="crp">
              <persName>
                <forename type="first">Chao</forename>
                <surname>Li</surname>
              </persName>
              <email type="md5">2515bbebd0315663e025e9a4661fae66</email>
              <email type="domain">ieee.org</email>
              <idno type="idhal" notation="numeric">997902</idno>
              <idno type="halauthorid" notation="string">744497-997902</idno>
              <affiliation ref="#struct-440635"/>
              <affiliation ref="#struct-477317"/>
              <affiliation ref="#struct-469160"/>
            </author>
            <author role="aut">
              <persName>
                <forename type="first">Franck</forename>
                <forename type="middle">S.</forename>
                <surname>Marzani</surname>
              </persName>
              <email type="md5">01d0748f3d68dd134dd9feacbe62c414</email>
              <email type="domain">u-bourgogne.fr</email>
              <idno type="idhal" notation="string">franck-marzani</idno>
              <idno type="idhal" notation="numeric">176144</idno>
              <idno type="halauthorid" notation="string">551957-176144</idno>
              <idno type="ORCID">https://orcid.org/0000-0003-0963-1565</idno>
              <idno type="IDREF">https://www.idref.fr/09503241X</idno>
              <affiliation ref="#struct-495876"/>
            </author>
            <author role="aut">
              <persName>
                <forename type="first">Fan</forename>
                <forename type="middle">Song</forename>
                <surname>Yang</surname>
              </persName>
              <email type="md5">af30976ac90ec75ea37b39b867bc54c3</email>
              <email type="domain">u-bourgogne.fr</email>
              <idno type="idhal" notation="string">fan-yang</idno>
              <idno type="idhal" notation="numeric">175311</idno>
              <idno type="halauthorid" notation="string">1548543-175311</idno>
              <idno type="ORCID">https://orcid.org/0000-0002-6844-2521</idno>
              <idno type="IDREF">https://www.idref.fr/158136144</idno>
              <affiliation ref="#struct-495876"/>
            </author>
            <editor role="depositor">
              <persName>
                <forename>Fan</forename>
                <surname>Yang</surname>
              </persName>
              <email type="md5">af30976ac90ec75ea37b39b867bc54c3</email>
              <email type="domain">u-bourgogne.fr</email>
            </editor>
            <funder>CAS Pioneer Hundred Talents Program</funder>
          </titleStmt>
          <editionStmt>
            <edition n="v1" type="current">
              <date type="whenSubmitted">2019-03-19 14:01:55</date>
              <date type="whenModified">2025-08-12 20:25:57</date>
              <date type="whenReleased">2019-03-19 14:01:55</date>
              <date type="whenProduced">2018-12</date>
              <ref type="externalLink" target="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308446"/>
            </edition>
            <respStmt>
              <resp>contributor</resp>
              <name key="163780">
                <persName>
                  <forename>Fan</forename>
                  <surname>Yang</surname>
                </persName>
                <email type="md5">af30976ac90ec75ea37b39b867bc54c3</email>
                <email type="domain">u-bourgogne.fr</email>
              </name>
            </respStmt>
          </editionStmt>
          <publicationStmt>
            <distributor>CCSD</distributor>
            <idno type="halId">hal-02072769</idno>
            <idno type="halUri">https://hal.science/hal-02072769</idno>
            <idno type="halBibtex">li:hal-02072769</idno>
            <idno type="halRefHtml">&lt;i&gt;Sensors&lt;/i&gt;, 2018, 18 (12), pp.4217. &lt;a target="_blank" href="https://dx.doi.org/10.3390/s18124217"&gt;&amp;#x27E8;10.3390/s18124217&amp;#x27E9;&lt;/a&gt;</idno>
            <idno type="halRef">Sensors, 2018, 18 (12), pp.4217. &amp;#x27E8;10.3390/s18124217&amp;#x27E9;</idno>
            <availability status="restricted"/>
          </publicationStmt>
          <seriesStmt>
            <idno type="stamp" n="UNIV-BOURGOGNE">Université Bourgogne Europe</idno>
            <idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno>
            <idno type="stamp" n="UNIV-BM">Université de Technologie de Belfort-Montbeliard</idno>
            <idno type="stamp" n="ENSAM">Arts et Métiers Sciences et Technologies</idno>
            <idno type="stamp" n="LE2I" corresp="UNIV-BOURGOGNE">Laboratoire Electronique, Informatique et Image</idno>
            <idno type="stamp" n="UNIV-BM-THESE">Université de Technologie de Belfort-Montbeliard</idno>
            <idno type="stamp" n="IMVIA" corresp="UNIV-BOURGOGNE">Imagerie et Vision Artificielle</idno>
            <idno type="stamp" n="CORES" corresp="UNIV-BOURGOGNE">Equipe CORES [IMVIA]</idno>
            <idno type="stamp" n="HESAM">Hesam</idno>
            <idno type="stamp" n="HESAM-ENSAM" corresp="HESAM">Ecole Nationale Supérieure d'Arts et Métiers - Hesam</idno>
          </seriesStmt>
          <notesStmt>
            <note type="audience" n="2">International</note>
            <note type="popular" n="0">No</note>
            <note type="peer" n="1">Yes</note>
          </notesStmt>
          <sourceDesc>
            <biblStruct>
              <analytic>
                <title xml:lang="en">Demodulation of Chaos Phase Modulation Spread Spectrum Signals Using Machine Learning Methods and Its Evaluation for Underwater Acoustic Communication</title>
                <author role="crp">
                  <persName>
                    <forename type="first">Chao</forename>
                    <surname>Li</surname>
                  </persName>
                  <email type="md5">2515bbebd0315663e025e9a4661fae66</email>
                  <email type="domain">ieee.org</email>
                  <idno type="idhal" notation="numeric">997902</idno>
                  <idno type="halauthorid" notation="string">744497-997902</idno>
                  <affiliation ref="#struct-440635"/>
                  <affiliation ref="#struct-477317"/>
                  <affiliation ref="#struct-469160"/>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">Franck</forename>
                    <forename type="middle">S.</forename>
                    <surname>Marzani</surname>
                  </persName>
                  <email type="md5">01d0748f3d68dd134dd9feacbe62c414</email>
                  <email type="domain">u-bourgogne.fr</email>
                  <idno type="idhal" notation="string">franck-marzani</idno>
                  <idno type="idhal" notation="numeric">176144</idno>
                  <idno type="halauthorid" notation="string">551957-176144</idno>
                  <idno type="ORCID">https://orcid.org/0000-0003-0963-1565</idno>
                  <idno type="IDREF">https://www.idref.fr/09503241X</idno>
                  <affiliation ref="#struct-495876"/>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">Fan</forename>
                    <forename type="middle">Song</forename>
                    <surname>Yang</surname>
                  </persName>
                  <email type="md5">af30976ac90ec75ea37b39b867bc54c3</email>
                  <email type="domain">u-bourgogne.fr</email>
                  <idno type="idhal" notation="string">fan-yang</idno>
                  <idno type="idhal" notation="numeric">175311</idno>
                  <idno type="halauthorid" notation="string">1548543-175311</idno>
                  <idno type="ORCID">https://orcid.org/0000-0002-6844-2521</idno>
                  <idno type="IDREF">https://www.idref.fr/158136144</idno>
                  <affiliation ref="#struct-495876"/>
                </author>
              </analytic>
              <monogr>
                <idno type="halJournalId" status="VALID">55556</idno>
                <idno type="issn">1424-8220</idno>
                <title level="j">Sensors</title>
                <imprint>
                  <publisher>MDPI</publisher>
                  <biblScope unit="volume">18</biblScope>
                  <biblScope unit="issue">12</biblScope>
                  <biblScope unit="pp">4217</biblScope>
                  <date type="datePub">2018-12</date>
                </imprint>
              </monogr>
              <idno type="doi">10.3390/s18124217</idno>
              <idno type="pubmedcentral">PMC6308446</idno>
              <ref type="publisher">https://www.mdpi.com/1424-8220/18/12/4217</ref>
            </biblStruct>
          </sourceDesc>
          <profileDesc>
            <langUsage>
              <language ident="en">English</language>
            </langUsage>
            <textClass>
              <keywords scheme="author">
                <term xml:lang="en">MAP</term>
                <term xml:lang="en">PLS</term>
                <term xml:lang="en">CLASSIFICATION</term>
                <term xml:lang="en">SEQUENCE</term>
                <term xml:lang="en">WIRELESS COMMUNICATION</term>
                <term xml:lang="en">machine learning</term>
                <term xml:lang="en">partial least square regression</term>
                <term xml:lang="en">chaos phase modulation sequence</term>
                <term xml:lang="en">direct sequence spread spectrum</term>
                <term xml:lang="en">underwater acoustic communication</term>
              </keywords>
              <classCode scheme="halDomain" n="info.info-ar">Computer Science [cs]/Hardware Architecture [cs.AR]</classCode>
              <classCode scheme="halTypology" n="ART">Journal articles</classCode>
              <classCode scheme="halOldTypology" n="ART">Journal articles</classCode>
              <classCode scheme="halTreeTypology" n="ART">Journal articles</classCode>
            </textClass>
            <abstract xml:lang="en">
              <p>The chaos phase modulation sequences consist of complex sequences with a constant envelope, which has recently been used for direct-sequence spread spectrum underwater acoustic communication. It is considered an ideal spreading code for its benefits in terms of large code resource quantity, nice correlation characteristics and high security. However, demodulating this underwater communication signal is a challenging job due to complex underwater environments. This paper addresses this problem as a target classification task and conceives a machine learning-based demodulation scheme. The proposed solution is implemented and optimized on a multi-core center processing unit (CPU) platform, then evaluated with replay simulation datasets. In the experiments, time variation, multi-path effect, propagation loss and random noise were considered as distortions. According to the results, compared to the reference algorithms, our method has greater reliability with better temporal efficiency performance.Keywords</p>
            </abstract>
          </profileDesc>
        </biblFull>
      </listBibl>
    </body>
    <back>
      <listOrg type="structures">
        <org type="laboratory" xml:id="struct-440635" status="VALID">
          <orgName>College of Engineering [Beijing]</orgName>
          <desc>
            <address>
              <addrLine>Beijing 100083 China</addrLine>
              <country key="CN"/>
            </address>
          </desc>
          <listRelation>
            <relation active="#struct-300813" type="direct"/>
          </listRelation>
        </org>
        <org type="institution" xml:id="struct-477317" status="INCOMING">
          <orgName>State Key Laboratory of Acoustics (Institute of Acoustics - Chinese Academy of Sciences)</orgName>
          <orgName type="acronym">SKLA</orgName>
          <desc>
            <address>
              <country key="CN"/>
            </address>
          </desc>
        </org>
        <org type="regrouplaboratory" xml:id="struct-469160" status="VALID">
          <idno type="ROR">https://ror.org/05qbk4x57</idno>
          <orgName>University of Chinese Academy of Sciences [Beijing]</orgName>
          <orgName type="acronym">UCAS</orgName>
          <date type="start">2016-10-20</date>
          <desc>
            <address>
              <addrLine>No.19(A) Yuquan Road, Shijingshan District, Beijing, P.R.China 100049</addrLine>
              <country key="CN"/>
            </address>
            <ref type="url">http://english.ucas.ac.cn/</ref>
          </desc>
          <listRelation>
            <relation active="#struct-303369" type="direct"/>
          </listRelation>
        </org>
        <org type="laboratory" xml:id="struct-495876" status="OLD">
          <idno type="IdRef">035175249</idno>
          <idno type="RNSR">201722346V</idno>
          <orgName>Laboratoire d'Electronique, d'Informatique et d'Image [EA 7508]</orgName>
          <orgName type="acronym">Le2i</orgName>
          <date type="start">2017-01-01</date>
          <date type="end">2018-12-31</date>
          <desc>
            <address>
              <addrLine>9 Avenue Alain Savary - 21078 DIJON CEDEX</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://le2i.cnrs.fr/</ref>
          </desc>
          <listRelation>
            <relation active="#struct-300261" type="direct"/>
            <relation name="EA7508" active="#struct-300270" type="direct"/>
            <relation active="#struct-301320" type="direct"/>
            <relation name="FRE2005" active="#struct-441569" type="direct"/>
          </listRelation>
        </org>
        <org type="institution" xml:id="struct-300813" status="VALID">
          <idno type="ROR">https://ror.org/04v3ywz14</idno>
          <orgName>China Agricultural University</orgName>
          <orgName type="acronym">CAU</orgName>
          <desc>
            <address>
              <addrLine>17 Tsinghua East Road, Beijing, 100083, P. R. China</addrLine>
              <country key="CN"/>
            </address>
            <ref type="url">http://en.cau.edu.cn/</ref>
          </desc>
        </org>
        <org type="regroupinstitution" xml:id="struct-303369" status="VALID">
          <idno type="ROR">https://ror.org/034t30j35</idno>
          <orgName>Chinese Academy of Sciences [Beijing]</orgName>
          <orgName type="acronym">CAS</orgName>
          <desc>
            <address>
              <addrLine>52 Sanlihe Rd., Beijing, 100864</addrLine>
              <country key="CN"/>
            </address>
            <ref type="url">http://english.cas.cn/</ref>
          </desc>
        </org>
        <org type="institution" xml:id="struct-300261" status="VALID">
          <orgName>Université de Technologie de Belfort-Montbeliard</orgName>
          <orgName type="acronym">UTBM</orgName>
          <desc>
            <address>
              <country key="FR"/>
            </address>
          </desc>
        </org>
        <org type="institution" xml:id="struct-300270" status="OLD">
          <idno type="IdRef">02819005X</idno>
          <idno type="ISNI">0000000122989313</idno>
          <idno type="ROR">https://ror.org/03k1bsr36</idno>
          <orgName>Université de Bourgogne</orgName>
          <orgName type="acronym">UB</orgName>
          <date type="end">2024-12-31</date>
          <desc>
            <address>
              <addrLine>Maison de l'université - Esplanade Érasme - BP 27877 - 21078 Dijon cedex</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://www.u-bourgogne.fr/</ref>
          </desc>
        </org>
        <org type="institution" xml:id="struct-301320" status="OLD">
          <orgName>École Nationale Supérieure d'Arts et Métiers</orgName>
          <orgName type="acronym">ENSAM</orgName>
          <date type="end">2020-03-04</date>
          <desc>
            <address>
              <country key="FR"/>
            </address>
            <ref type="url">https://artsetmetiers.fr/fr</ref>
          </desc>
        </org>
        <org type="regroupinstitution" xml:id="struct-441569" status="VALID">
          <idno type="IdRef">02636817X</idno>
          <idno type="ISNI">0000000122597504</idno>
          <idno type="ROR">https://ror.org/02feahw73</idno>
          <orgName>Centre National de la Recherche Scientifique</orgName>
          <orgName type="acronym">CNRS</orgName>
          <date type="start">1939-10-19</date>
          <desc>
            <address>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.cnrs.fr/</ref>
          </desc>
        </org>
      </listOrg>
    </back>
  </text>
</TEI>