Semi‐blind demodulation algorithm for short burst FM‐MFSK based on STFT

Author:

Gao Chunfang1,Lee Choong Hyun2,Wei Xiaoji3,Gong Yong4

Affiliation:

1. Jiaxing Vocational and Technical College, School of Internet; China Nanhu Academy of Electronics and Information Technology Sensory storage and computing integration laboratory No.547 Tongxiang Avenue, Nanhu District Jiaxing Zhejiang Province China

2. Zhejiang University; China Nanhu Academy of Electronics and Information Technology Sensory storage and computing integration laboratory No.111 Qixing Road, Nanhu District Jiaxing Zhejiang Province China

3. Jiaxing Vocational and Technical College School of Intelligent manufacturing No.547 Tongxiang Avenue, Nanhu District Jiaxing Zhejiang Province China

4. China Nanhu Academy of Electronics and Information Technology No.111 Qixing Road, Nanhu District Jiaxing Zhejiang Province China

Abstract

AbstractIn the blind reception of non‐cooperative signals in short‐time burst communication, signal time domain detection is the premise and key of signal modulation parameter estimation, signal demodulation, decoding, interpretation, information acquisition and interference guidance. In this paper, the semi‐blind demodulation method of short‐time burst FM‐MFSK signal is studied under the condition of low signal‐to‐noise ratio. A short‐time burst FM‐MFSK semi‐blind demodulation method based on STFT is proposed. When SNR is higher than 3 dB, the correct demodulation probability for FM‐MFSK signal can reach 90%.

Funder

Natural Science Foundation of Zhejiang Province

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Reference14 articles.

1. Blind recognition of complex modulated signals based on high‐order cumulant and signal square spectrum characteristics;Xu Q.;Acta Electron. Sin.,2022

2. Research on FH/MFSK underwater acoustic communication system based on turbo coding;Yue L.;Proceedings of 2017 Equipment Technology Development Forum,2017

3. MFSK demodulation algorithm based on cyclic spectrum and wavelet transform;Lin C.;Sci. Technol. Eng.,2013

4. Novel orthogonal demodulation algorithm for MFSK signal;Qian X.;Electron. Des. Eng.,2018

5. Demodulation optimization algorithm of orthogonal MFSK signal;Li M.;Radio Commun. Technol.,2022

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