Poly-semantic Signal Design for Detection of Two Target in Neural Network

  • Unique Paper ID: 158571
  • Volume: 3
  • Issue: 12
  • PageNo: 321-325
  • Abstract:
  • This paper addresses the radar signal design for the detection of two target with improved sidelobe suppression ratio using neural network. The simulation results indicate a significant in terms of noise tolerance for targets detection compared to conventional binary sequence.

Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{158571,
        author = {Mohammed. Moazzam Moinuddin},
        title = {Poly-semantic Signal Design for Detection of Two Target in Neural Network},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {3},
        number = {12},
        pages = {321-325},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=158571},
        abstract = {This paper addresses the radar signal design for the detection of two target with improved sidelobe suppression  ratio using neural network. The simulation results indicate a significant in terms of noise tolerance for targets detection compared to conventional binary sequence.},
        keywords = {Poly-semantic radar, Hamming back-track, sidelobe suppression,  radial basis neural network.},
        month = {},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 3
  • Issue: 12
  • PageNo: 321-325

Poly-semantic Signal Design for Detection of Two Target in Neural Network

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