Research on Detection Algorithm of DSSS Signals Under Alpha Stable Distribution Noise

2019 ◽  
pp. 747-754
Author(s):  
Weichao Yang ◽  
Yu Du
Keyword(s):  
Stable Distribution ◽  
Detection Algorithm ◽  
Alpha Stable Distribution

scholarly journals Robust Signals Detection Algorithm Based on Cyclostationarity in Impulsive Noise

2020 ◽  
Vol 14 ◽  
Keyword(s):  
Order Statistics ◽  
Lower Order ◽  
Stable Distribution ◽  
Impulsive Noise ◽  
Detection Algorithm ◽  
Communication Signals ◽  
Alpha Stable Distribution ◽  
Fractional Lower Order Statistics ◽  
Non Gaussian ◽  
Output Snr

A robust method for detecting the communication signals impinging on an antenna with interference and non-Gaussian impulsive noise is introduced in this paper. Degradation of the conventional cyclic detector which based on max-output-SNR criterion in impulsive noise is shown both theoretically and experimentally. By fusing second-order cyclostationarity and fractional lower-order statistics, a type of cyclic fractional lower-order statistics is developed which is defined for exploiting cyclostationarity property. Then, a new robust type of detection algorithm is developed using the theory of optimal filtering based on max-output-SNR criterion and alpha-stable distribution, including the fractional lower-order cyclic matched filter, which is formulated for detecting the communication signals in the presence of interference and non-Gaussian alpha-stable distribution impulsive noise. It is shown that the new method is robust to Gaussian and non-Gaussian impulsive noises, and is immune to the interfering signals which occupy the same spectral band as that of the received signal. Simulation results show the robustness and effectiveness of the proposed algorithm.

Radar Clutter Recognition Using Alpha Stable Distribution

2011 ◽  
Vol 30 (9) ◽  
pp. 2042-2045 ◽  
Author(s):  
Xu-tao Li ◽  
Shou-yong Wang ◽  
Lian-wen Jin
Keyword(s):  
Stable Distribution ◽  
Radar Clutter ◽  
Alpha Stable Distribution

SAR image classification based on alpha-stable distribution

2011 ◽  
Vol 2 (1) ◽  
pp. 51-59 ◽  
Author(s):  
Yijin Peng ◽  
Xin Xu ◽  
Wanbin Zhou ◽  
Yin Zhao
Keyword(s):  
Image Classification ◽  
Stable Distribution ◽  
Sar Image ◽  
Alpha Stable Distribution

Adaptive Stochastic Resonance Method for Early Fault Detection of Rotating Machinery Based on Alpha Stable Distribution

2014 ◽  
Vol 618 ◽  
pp. 458-462
Author(s):  
Gang Yu ◽  
Ye Chen
Keyword(s):  
Fault Detection ◽  
Stochastic Resonance ◽  
Stable Distribution ◽  
Signal To Noise Ratio ◽  
Resonance Method ◽  
Rotating Machinery ◽  
Sliding Windows ◽  
Alpha Stable Distribution ◽  
Early Fault Detection ◽  
The Impact

This paper proposes an adaptive stochastic resonance (SR) method based on alpha stable distribution for early fault detection of rotating machinery. By analyzing the SR characteristic of the impact signal based on sliding windows, SR can improve the signal to noise ratio and is suitable for early fault detection of rotating machinery. Alpha stable distribution is an effective tool for characterizing impact signals, therefore parameter alpha can be used as the evaluating parameter of SR. Through simulation study, the effectiveness of the proposed method has been verified.

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