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Persymmetric Adaptive Array Detection of Spread Spectrum Signals
Jun Liu
, Wuyang Zhou
, Amir Zaimbashi
,
Hongbin Li
Department of Electrical and Computer Engineering
School of Engineering and Science
Stevens Institute of Technology
Research output
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peer-review
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Keyphrases
Generalized Likelihood Ratio Test
100%
Wald Test
100%
Spread Spectrum Signal
100%
Adaptive Arrays
100%
Unknown Covariance Matrix
100%
Array Detection
100%
Rao Test
100%
Colored Noise
50%
Detection Problem
50%
Linear Array
50%
Signal Detection
50%
Numerical Examples
50%
Adaptive Detector
50%
Constant False Alarm Rate
50%
Persymmetric Structure
50%
Persymmetry
50%
Better Performance
50%
Engineering
Covariance Matrix
100%
Spread Spectrum
100%
Generalized Likelihood Ratio Test
100%
Received Data
50%
Adaptive Design
50%
Linear Array
50%
Numerical Example
50%
Signal Detection
50%
Colored Noise
50%
Constant False Alarm Rate
50%
Mathematics
Covariance Matrix
100%
Likelihood Ratio Test
100%
Generalized Likelihood Ratio
100%
Wald Test
100%
Numerical Example
50%
Colored Noise
50%
False Alarm Rate
50%
Computer Science
Covariance Matrix
100%
Spread Spectrum
100%
adaptive array
100%
generalized likelihood-ratio test
100%
False Alarm Rate
50%
Numerical Example
50%
Signal Detection
50%
Physics
Detectors
100%
Covariance
66%
Likelihood Ratio
66%
Signal Detection
33%
False Alarm
33%