<?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>20260109111936385</timestamp>
    <depositor>
      <depositor_name>wseas/wseas</depositor_name>
      <email_address>content-registration-form+ja@crossref.org</email_address>
    </depositor>
    <registrant>content-registration-form</registrant>
  </head>
  <body>
    <journal>
      <journal_metadata>
        <full_title>WSEAS TRANSACTIONS ON SIGNAL PROCESSING</full_title>
        <issn media_type="print">1790-5052</issn>
        <issn media_type="electronic">2224-3488</issn>
      </journal_metadata>
      <journal_article>
        <titles>
          <title>Advanced TDOA-UWB Localization in Complex Environments: Overcoming Multipath and NLOS Challenges</title>
        </titles>
        <contributors>
          <person_name sequence="first" contributor_role="author">
            <given_name>Christian Tshimanga</given_name>
            <surname>Nkashama</surname>
            <affiliations>
              <institution>
                <institution_name>Faculté Polytechnique, Université de Kinshasa (UNIKIN), Kinshasa, DEMOCRATIC REPUBLIC OF THE CONGO </institution_name>
              </institution>
            </affiliations>
          </person_name>
          <person_name sequence="additional" contributor_role="author">
            <given_name>Moanda Ndeko Mosengo</given_name>
            <surname>C. M.</surname>
            <affiliations>
              <institution>
                <institution_name>Faculté Polytechnique, Université de Kinshasa (UNIKIN), Kinshasa, DEMOCRATIC REPUBLIC OF THE CONGO </institution_name>
              </institution>
            </affiliations>
          </person_name>
          <person_name sequence="additional" contributor_role="author">
            <given_name>Witesyavwirwa Vianney</given_name>
            <surname>Kambale</surname>
            <affiliations>
              <institution>
                <institution_name>Faculty of Information and Communication Technology, Tshwane University of Technology, Pretoria, SOUTH AFRICA </institution_name>
              </institution>
            </affiliations>
          </person_name>
          <person_name sequence="additional" contributor_role="author">
            <given_name>Kyandoghere</given_name>
            <surname>Kyamakya</surname>
            <affiliations>
              <institution>
                <institution_name>Institute for Smart Systems Technologies, Universität Klagenfurt, AUSTRIA </institution_name>
              </institution>
            </affiliations>
          </person_name>
        </contributors>
        <jats:abstract xml:lang="en">
          <jats:p>Accurate localization remains a critical challenge in complex environments characterized by multipath propagation, Non-Line-of-Sight (NLOS) conditions, and environmental noise. This paper presents a comprehensive study on enhancing Time Difference of Arrival (TDOA) localization systems utilizing Ultra-Wideband (UWB) signals. The contributions include the development of a robust simulation framework incorporating real-world environmental factors, a comparative analysis of deterministic and statistical approaches, and geometric optimization strategies for anchor placement. The results highlight the capability of TDOA-UWB systems for dependable implementation in industrial sectors, such as logistics, precision agriculture, and mining.</jats:p>
        </jats:abstract>
        <publication_date media_type="print">
          <month>01</month>
          <day>09</day>
          <year>2026</year>
        </publication_date>
        <publication_date media_type="online">
          <month>01</month>
          <day>09</day>
          <year>2026</year>
        </publication_date>
        <pages>
          <first_page>30</first_page>
        </pages>
        <publisher_item>
          <item_number item_number_type="article_number">3</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>10.37394/232014.2026.22.3</doi>
          <resource>https://wseas.com/journals/sp/2026/a065114-002(2026).pdf</resource>
        </doi_data>
        <citation_list>
          <citation key="ref0">
            <unstructured_citation>H. Nikookar and R. Prasad, Introduction to Ultra Wideband for Wireless Communications. Dordrecht: Springer, 2009.</unstructured_citation>
          </citation>
          <citation key="ref1">
            <unstructured_citation>G. Mao, B. Fidan, and B. D. O. Anderson, “Wireless sensor network localization techniques,” Computer Networks, vol. 51, no. 10, pp. 2529–2553, 2007, doi: https://doi.org/10.1016/j.comnet.2006.11.018 and [Accessed: 17 May. 2024].</unstructured_citation>
          </citation>
          <citation key="ref2">
            <unstructured_citation>M. Z. Win and R. A. Scholtz, “Characterization of ultra-wide bandwidth wireless indoor channels: A communication-theoretic view,” IEEE Journal on Selected Areas in Communications, vol. 20, no. 9, pp. 1613–1627, 2002, doi: https://doi.org/10.1109/JSAC.2002. 805031 and [Accessed: 03 Apr. 2025].</unstructured_citation>
          </citation>
          <citation key="ref3">
            <unstructured_citation>R. S and J. S N, “Time of arrival based localization in wireless sensor networks: A linear approach,” Signal amp; Image Processing: An International Journal, vol. 4, no. 4, p. 13–30, Aug. 2013, doi: https://doi.org/10.5121/sipij.2013.4402 and [Accessed: 06 Feb. 2025].</unstructured_citation>
          </citation>
          <citation key="ref4">
            <unstructured_citation>M. K. Simon, J. K. Omura, R. A. Scholtz, and B. K. Levitt, Spread spectrum communications handbook. McGraw-Hill New York, 1994, vol. 2.</unstructured_citation>
          </citation>
          <citation key="ref5">
            <unstructured_citation>D. Munoz, F. Bouchereau, C. Vargas, and R. Enriquez, Position Location Techniques and Applications. Academic Press, 2009.</unstructured_citation>
          </citation>
          <citation key="ref6">
            <unstructured_citation>J. Dong, Z. Lian, J. Xu, and Z. Yue, “An improved adaptive sparrow search algorithm for tdoa-based localization,” ISPRS International Journal of Geo-Information, vol. 12, no. 8, p. 344, 2023, accessed on 12 Apr. 2025. [Online]. Available: https://www.mdpi.com/2220-9964/ 12/8/334</unstructured_citation>
          </citation>
          <citation key="ref7">
            <unstructured_citation>E. D. Kaplan and C. J. Hegarty, Understanding GPS/GNSS: Principles and Applications, 3rd ed. Bedford, Massachusetts: Artech House, 2017, the MITRE Corporation.</unstructured_citation>
          </citation>
          <citation key="ref8">
            <unstructured_citation>R. Peng and M. L. Sichitiu, “Angle of arrival localization for wireless sensor networks,” in 2006 3rd Annual IEEE Communications Society on Sensor and Ad Hoc Communications and Networks. Reston, VA, USA: IEEE, 2006, pp. 374–382, doi: https://doi.org/10.1109/SAHCN. 2006.288442 and [Accessed: 27 Mar. 2024].</unstructured_citation>
          </citation>
          <citation key="ref9">
            <unstructured_citation>I. Guvenc and C.-C. Chong, “A survey on toa-based wireless localization and nlos mitigation techniques,” IEEE Communications Surveys &amp; Tutorials, vol. 11, no. 3, pp. 107–124, 2009, doi: https://doi.org/10.1109/SURV.2009.090308 and [Accessed: 19 Mar. 2024].</unstructured_citation>
          </citation>
          <citation key="ref10">
            <unstructured_citation>A. Albaidhani and A. Alsudani, “Anchor selection by geometric dilution of precision for an indoor positioning system using ultra-wide band technology,” IET Wireless Sensor Systems, vol. 11, no. 1, pp. 22–31, 2021, doi: https:// doi.org/10.1049/wss2.12006 and [Accessed: 04 May. 2024].</unstructured_citation>
          </citation>
          <citation key="ref11">
            <unstructured_citation>The MathWorks, Inc., MATLAB and Simulink Documentation, 2023, [Accessed: 14 Jan. 2023]. [Online]. Available: https://www. mathworks.com/help/</unstructured_citation>
          </citation>
          <citation key="ref12">
            <unstructured_citation>N. Patwari, J. Ash, S. Kyperountas, A. Hero, R. Moses, and N. Correal, “Locating the nodes: Cooperative localization in wireless sensor networks,” Signal Processing Magazine, IEEE, vol. 22, pp. 54 – 69, 08 2005, doi: https://doi.org/10.1109/MSP.2005.1458287 and [Accessed: 10 Feb. 2025].</unstructured_citation>
          </citation>
          <citation key="ref13">
            <unstructured_citation>T. King, S. Kopf, T. Haenselmann, C. Lubberger, and W. Effelsberg, “Compass: A probabilistic indoor positioning system based on 802.11 and digital compasses,” in Proceedings of the 1st International Workshop on Wireless Network Testbeds, Experimental Evaluation and Characterization (WiNTECH ’06), 2006, pp. 34–40, doi: https://doi.org/10.1145/1160987.1160995 and [Accessed: 02 Jan. 2024].</unstructured_citation>
          </citation>
          <citation key="ref14">
            <unstructured_citation>F. Zhang, H. Li, Y. Ding, S.-H. Yang, and L. Yang, “Dilution of precision for time difference of arrival with station deployment,” IET Signal Processing, 2021, doi: https://doi. org/10.1049/sil2.12036 and [Accessed: 28 Apr. 2025].</unstructured_citation>
          </citation>
          <citation key="ref15">
            <unstructured_citation>S. Sharma, R. Popli, S. Singh, G. Chhabra, G. S. Saini, M. Singh, A. Sandhu, A. Sharma, and R. Kumar, “The role of 6g technologies in advancing smart city applications: Opportunities and challenges,” Sustainability, vol. 16, no. 16, p. 7039, 2024, doi: https://doi.org/10.3390/su16167039 and [Accessed: 01 Jan. 2025].</unstructured_citation>
          </citation>
          <citation key="ref16">
            <unstructured_citation>J. D. Parsons, The Mobile Radio Propagation Channel, 2nd ed. John Wiley &amp; Sons Ltd, 2000.</unstructured_citation>
          </citation>
          <citation key="ref17">
            <unstructured_citation>C. Wang, H. Zhang, T.-M. Nguyen, and L. Xie, “Ultra-wideband aided fast localization and mapping system,” in 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017, pp. 1602–1609, doi: https://doi.org/10.1109/IROS.2017.8205968 and [Accessed: 12 Feb. 2025].</unstructured_citation>
          </citation>
        </citation_list>
      </journal_article>
    </journal>
  </body>
</doi_batch>