Joint estimation of time delay and frequency delay in impulsive noise using fractional lower order statistics

1996 ◽  
Vol 44 (11) ◽  
pp. 2669-2687 ◽  
Author(s):  
Xinyu Ma ◽  
C.L. Nikias
Keyword(s):  
Time Delay ◽  
Order Statistics ◽  
Lower Order ◽  
Impulsive Noise ◽  
Joint Estimation ◽  
Fractional Lower Order Statistics ◽  
Estimation Of Time

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.

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