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

Signal Detection Based on a Decreasing Exponential Function in Alpha-Stable Distributed Noise

Vol. 12, No.1, January 31, 2018
10.3837/tiis.2018.01.013, Download Paper (Free):

Abstract

Signal detection in symmetric alpha-stable (SS α ) distributed noise is a challenging problem. This paper proposes a detector based on a decreasing exponential function (DEF). The DEF detector can effectively suppress the impulsive noise and achieve good performance in the presence of SS α noise. The analytical expressions of the detection and false alarm probabilities of the DEF detector are derived, and the parameter optimization for the detector is discussed. A performance analysis shows that the DEF detector has much lower computational complexity than the Gaussian kernelized energy detector (GKED), and it performs better than the latter in SS α noise with small characteristic exponent values. In addition, the DEF detector outperforms the fractional lower order moment (FLOM)-based detector in SS α noise for most characteristic exponent values with the same order of magnitude of computational complexity.


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Cite this article

[IEEE Style]
Jinjun Luo, Shilian Wang and Eryang Zhang, "Signal Detection Based on a Decreasing Exponential Function in Alpha-Stable Distributed Noise," KSII Transactions on Internet and Information Systems, vol. 12, no. 1, pp. 269-286, 2018. DOI: 10.3837/tiis.2018.01.013

[ACM Style]
Luo, J., Wang, S., and Zhang, E. 2018. Signal Detection Based on a Decreasing Exponential Function in Alpha-Stable Distributed Noise. KSII Transactions on Internet and Information Systems, 12, 1, (2018), 269-286. DOI: 10.3837/tiis.2018.01.013