TIIS (한국인터넷정보학회)
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| 한글제목(Korean Title) |
Signal Detection Based on a Decreasing Exponential Function in Alpha-Stable Distributed Noise |
| 영문제목(English Title) |
Signal Detection Based on a Decreasing Exponential Function in Alpha-Stable Distributed Noise |
| 저자(Author) |
Jinjun Luo
Shilian Wang
Eryang Zhang
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| 원문수록처(Citation) |
VOL 12 NO. 01 PP. 0269 ~ 0286 (2018. 01) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Signal detection in symmetric alpha-stable (SSα) 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 ofSSαnoise. 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 SSα noise with small characteristic exponent values. In addition, the DEF detector outperforms the fractional lower order moment (FLOM)-based detector in SSα noise for most characteristic exponent values with the same order of magnitude of computational complexity.
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| 키워드(Keyword) |
Alpha-stable distribution
impulsive noise
decreasing exponential function
signal detection
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| 파일첨부 |
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