• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Modulation Recognition of BPSK/QPSK Signals based on Features in the Graph Domain

Vol. 16, No. 11, November 30, 2022
10.3837/tiis.2022.11.016, Download Paper (Free):

Abstract

The performance of existing recognition algorithms for binary phase shift keying (BPSK) and quadrature phase shift keying (QPSK) signals degrade under conditions of low signal-to-noise ratios (SNR). Hence, a novel recognition algorithm based on features in the graph domain is proposed in this study. First, the power spectrum of the squared candidate signal is truncated by a rectangular window. Thereafter, the graph representation of the truncated spectrum is obtained via normalization, quantization, and edge construction. Based on the analysis of the connectivity difference of the graphs under different hypotheses, the sum of degree (SD) of the graphs is utilized as a discriminate feature to classify BPSK and QPSK signals. Moreover, we prove that the SD is a Schur-concave function with respect to the probability vector of the vertices (PVV). Extensive simulations confirm the effectiveness of the proposed algorithm, and its superiority to the listed model-driven-based (MDB) algorithms in terms of recognition performance under low SNRs and computational complexity. As it is confirmed that the proposed method reduces the computational complexity of existing graph-based algorithms, it can be applied in modulation recognition of radar or communication signals in real-time processing, and does not require any prior knowledge about the training sets, channel coefficients, or noise power.


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Cite this article

[IEEE Style]
L. Yang, G. Hu, X. Xu, P. Zhao, "Modulation Recognition of BPSK/QPSK Signals based on Features in the Graph Domain," KSII Transactions on Internet and Information Systems, vol. 16, no. 11, pp. 3761-3779, 2022. DOI: 10.3837/tiis.2022.11.016.

[ACM Style]
Li Yang, Guobing Hu, Xiaoyang Xu, and Pinjiao Zhao. 2022. Modulation Recognition of BPSK/QPSK Signals based on Features in the Graph Domain. KSII Transactions on Internet and Information Systems, 16, 11, (2022), 3761-3779. DOI: 10.3837/tiis.2022.11.016.

[BibTeX Style]
@article{tiis:38010, title="Modulation Recognition of BPSK/QPSK Signals based on Features in the Graph Domain", author="Li Yang and Guobing Hu and Xiaoyang Xu and Pinjiao Zhao and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2022.11.016}, volume={16}, number={11}, year="2022", month={November}, pages={3761-3779}}