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- Title
Modulation recognition with alpha-stable noise over fading channels.
- Authors
Zhang, Lingfei; Hua, Liang; Liu, Mingqian; Shang, Bodong; Zhang, Yarui
- Abstract
In this paper, we propose a novel method to recognize the digital modulation communication signals with alpha-stable noise over fading channels. Specifically, the probability density function of alpha-stable noise is determined by kernel density estimation, and the fading channel parameters are measured by utilizing the improved expectation conditional maximization algorithm. Then we leverage the compound hypothesis test model, which serves as a classifier, to implement modulation recognition. Simulation results show that the proposed method is robust to alpha-stable noise over fading channels. Moreover, the correct average recognition rates of the digital modulation communication signals under alpha-stable noise is more than 90%, when the generalized signal-to-noise ratio is 10dB.
- Subjects
PROBABILITY density function; DIGITAL modulation; SIGNAL-to-noise ratio; NOISE; CONDITIONAL expectations; DIGITAL communications; OPTICALLY stimulated luminescence; CHANNEL estimation
- Publication
Wireless Networks (10220038), 2024, Vol 30, Issue 5, p3795
- ISSN
1022-0038
- Publication type
Article
- DOI
10.1007/s11276-021-02745-5