Implementation of Blind ModulationDetection for Software Defined Radio

  • Unique Paper ID: 143318
  • PageNo: 67-73
  • Abstract:
  • Rising development in software Defined Radio(SDR) systems has led to rapid development in Blind Modulation Detection (BMD) techniques. Different order modulations combined with different coding schemes allow sending more bits per symbol, thus achieving higher throughputs and better spectral efficiencies by the use of BMD. A generalized Digital Modulation Identification algorithm for adaptive demodulator has been implemented. The algorithm is verified using Wavelet Transform and histogram computation to identify BPSK QPSK, M-ary PSK, 16-QAM and GMSK signals. The proposed method is implemented using MATLAB Simulink tool and the simulations are also carried out in the same.

Copyright & License

Copyright © 2026 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{143318,
        author = {Harsha Patel and Chandani Maheshwari},
        title = {Implementation of Blind ModulationDetection for Software Defined Radio},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {2},
        number = {10},
        pages = {67-73},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=143318},
        abstract = {Rising development in software Defined Radio(SDR) systems has led to rapid development in Blind Modulation Detection (BMD) techniques. Different order modulations combined with different coding schemes allow sending more bits per symbol, thus achieving higher throughputs and better spectral efficiencies by the use of BMD. A generalized Digital Modulation Identification algorithm for adaptive demodulator has been implemented. The algorithm is verified using Wavelet Transform and histogram computation to identify BPSK QPSK, M-ary PSK, 16-QAM and GMSK signals. The proposed method is implemented using MATLAB Simulink tool and the simulations are also carried out in the same.},
        keywords = {SDR, BPSK, QPSK, QAM, PSK, GMSK},
        month = {},
        }

Cite This Article

Patel, H., & Maheshwari, C. (). Implementation of Blind ModulationDetection for Software Defined Radio. International Journal of Innovative Research in Technology (IJIRT), 2(10), 67–73.

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