학술논문

Blind Detection of Stationary Signals and Periodic Stationary Signals
Document Type
Conference
Source
2019 12th International Symposium on Computational Intelligence and Design (ISCID) Computational Intelligence and Design (ISCID), 2019 12th International Symposium on. 2:75-78 Dec, 2019
Subject
Computing and Processing
Robotics and Control Systems
Frequency shift keying
Signal to noise ratio
Spectral analysis
White noise
Mathematical model
Binary phase shift keying
blind detection
power spectrum
cyclic spectrum
stationary signals
periodic stationary signals
Language
ISSN
2473-3547
Abstract
A blind detection method based on power spectrum and cyclic spectrum is adopted for the blind detection of stationary signals and periodic stationary signals. This method can accurately determine the existence of a stationary signal. This paper is mainly for Gaussian signals. Firstly, the power spectrum is used for the stationary signal detection. Then, the presence of the to-be-identified signal is detected by the difference between the periodic stationary signal and the Gaussian white noise. The experimental simulation of the detection method shows that the recognition rate of most modulation types can reach about 90% when the signal-to-noise ratio is greater than -10dB, which verifies the effectiveness of the method.