Locally optimum detection in moving average non-Gaussian noise

1988 ◽  
Vol 36 (8) ◽  
pp. 907-912 ◽  
Author(s):  
A.M. Maras
Keyword(s):  
Gaussian Noise ◽  
Moving Average ◽  
Optimum Detection ◽  
Non Gaussian

Interference Suppression Detector for Spread Spectrum System Based on Amplitude Domain Processing

2009 ◽  
Vol 419-420 ◽  
pp. 653-656
Author(s):  
Jing Gang Wang ◽  
Jia Huan Wang
Keyword(s):  
Gaussian Noise ◽  
Spread Spectrum ◽  
Signal To Noise Ratio ◽  
Interference Suppression ◽  
Narrowband Interference ◽  
Electromagnetic Environment ◽  
Signal To Noise ◽  
Optimum Detection ◽  
Non Gaussian ◽  
Acquisition Method

Amplitude Domain Processing (ADP) is proposed in this paper for modern and complicated electromagnetic environment; the algorithm is derived from Locally Optimum Detection (LOD) theory. In non-Gaussian noise environment, ADP technique could be used in Squared-Sum Detector to obtain a new code acquisition method. The result of simulation shows that the Amplitude Domain Processing proposed by this article could eliminate the narrowband interference in Spread Spectrum Navigation Receiver automatically and improve its SNR (Signal to Noise Ratio).

Analysis of Optimum Weak Signal Detectors under Moving Average Model of Non-Gaussian Noise

2006 ◽  
Author(s):  
Hyun Gu Kang ◽  
Jongho Oh ◽  
Hyoungmoon Kwon ◽  
So Ryoung Park ◽  
Sun Yong Kim ◽  
...  
Keyword(s):  
Gaussian Noise ◽  
Moving Average ◽  
Weak Signal ◽  
Average Model ◽  
Moving Average Model ◽  
Non Gaussian
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