<?xml version='1.0' encoding='UTF-8'?>
<doi_batch version="5.4.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.crossref.org/schema/5.4.0" xsi:schemaLocation="http://www.crossref.org/schema/5.4.0 https://www.crossref.org/schemas/crossref5.4.0.xsd" xmlns:jats="http://www.ncbi.nlm.nih.gov/JATS1" xmlns:fr="http://www.crossref.org/fundref.xsd" xmlns:ai="http://www.crossref.org/AccessIndicators.xsd" xmlns:rel="http://www.crossref.org/relations.xsd" xmlns:mml="http://www.w3.org/1998/Math/MathML">
  <head>
    <doi_batch_id>NONE</doi_batch_id>
    <timestamp>20260715103924520</timestamp>
    <depositor>
      <depositor_name>wseas/wseas</depositor_name>
      <email_address>content-registration-form@crossref.org</email_address>
    </depositor>
    <registrant>content-registration-form</registrant>
  </head>
  <body>
    <journal>
      <journal_metadata>
        <full_title>International Journal of Applied Mathematics Computational Science and Systems Engineering</full_title>
        <issn media_type="electronic">2766-9823</issn>
      </journal_metadata>
      <journal_article>
        <titles>
          <title>High Resolution ISAR Using Adaptive Filtering and Stochastic Calculus</title>
        </titles>
        <contributors>
          <person_name sequence="first" contributor_role="author">
            <given_name>Ahmed S.</given_name>
            <surname>Abutaleb</surname>
            <affiliations>
              <institution>
                <institution_name>Cairo University EGYPT</institution_name>
              </institution>
            </affiliations>
          </person_name>
        </contributors>
        <jats:abstract>
          <jats:p>We study the case of two or more closely spaced reflectors of a moving target (the distance between the reflectors is less than the Fourier transform resolution). This is a common problem in synthetic aperture Radar (SAR) and inverse SAR (ISAR). We use adaptive noise canceling to find the sinusoid (representing small reflector) that is obscured by the sinusoid of the dominant reflector. Moreover the echo phase, of ISAR, is modeled to have an additive Wiener process that represents the error in the target Doppler shift equation. The maximum likelihood method of Girsanov theory is used to find the parameters of the recovered small signal.</jats:p>
        </jats:abstract>
        <publication_date media_type="print">
          <month>07</month>
          <day>15</day>
          <year>2026</year>
        </publication_date>
        <publication_date media_type="online">
          <month>07</month>
          <day>15</day>
          <year>2026</year>
        </publication_date>
        <pages>
          <first_page>60</first_page>
        </pages>
        <publisher_item>
          <item_number item_number_type="article_number">5</item_number>
        </publisher_item>
        <ai:program name="AccessIndicators">
          <ai:license_ref>https://creativecommons.org/licenses/by/4.0/deed.en_US</ai:license_ref>
        </ai:program>
        <doi_data>
          <doi>10.37394/232026.2026.8.5</doi>
          <resource>https://wseas.com/journals/amcse/2026/a10amcse-005(2026).pdf</resource>
        </doi_data>
        <citation_list>
          <citation key="ref0">
            <unstructured_citation>K. Cuomo, 1992, “A BANDWIDTH EXTRAPOLATION TECHNIQUE FOR IMPROVED RANGE RESOLUTION OF COHERENT RADAR DATA”, MIT, Lincoln Lab., PROJECT REPORT CJP-60, Rev. I</unstructured_citation>
          </citation>
          <citation key="ref1">
            <unstructured_citation>Yiding Wang , Yuanhao Li , Jiongda Song and Guanghui Zhao, 2024, “Random Stepped Frequency ISAR 2D Joint Imaging and Autofocusing by Using 2DAFCIFSBL”, Remote Sens. 16, 2521. https://doi.org/10.3390/rs16142521</unstructured_citation>
          </citation>
          <citation key="ref2">
            <unstructured_citation>A.Tufan, 2012, Comparative Evaluation of ISAR Processing Algorithms, M. Sc., Middle East Technical University, Turkey.</unstructured_citation>
          </citation>
          <citation key="ref3">
            <unstructured_citation>Huang, P.; Li, S.; Li, W.; Zheng, M.; Tian, B.; Xu, S. Noise-Robust Radar HighResolution</unstructured_citation>
          </citation>
          <citation key="ref4">
            <unstructured_citation>Range Profile Target Recognition Based on Residual Scattering Attention Network. Electronics 2024, 13, 4587. https://doi.org/10.3390/ electronics13234587</unstructured_citation>
          </citation>
          <citation key="ref5">
            <unstructured_citation>Roshahliza M. Ramli, Ali O. Abid Noor, and Salina Abdul Samad, 2012, “A Review of Adaptive Line Enhancers for Noise Cancellation”, Australian Journal of Basic and Applied Sciences, 6(6): 337-352.</unstructured_citation>
          </citation>
          <citation key="ref6">
            <unstructured_citation>R. Lipster and A. Shiryaev, 1978, Statistics of Random Processes, Springer.</unstructured_citation>
          </citation>
        </citation_list>
      </journal_article>
    </journal>
  </body>
</doi_batch>
