Title :
Performance analysis of two adaptive radar detectors against non-Gaussian real sea clutter data
Author :
Gini, F. ; Diani, Marco ; Verrazzani, L.
Author_Institution :
Dept. of Inf. Eng., Pisa Univ., Italy
fDate :
10/1/2000 12:00:00 AM
Abstract :
The performance of two adaptive detection schemes developed in the literature, Kelly´s generalized likelihood ratio test (GLRT) and the adaptive linear-quadratic (ALQ) detector, are tested on real sea clutter data recorded by the IPIX experimental radar. The results of first- and second-order statistical analyses performed on two data sets are reported. Amplitude analysis has been carried out by checking the fitting to Weibull, log-normal, K, and generalized K models. The results show good agreement between performance prediction based on the generalized K model, with texture strongly correlated among primary and secondary data, and the performance obtained by processing the real sea clutter data.
Keywords :
Weibull distribution; adaptive signal detection; covariance matrices; error statistics; log normal distribution; marine radar; radar clutter; radar detection; Weibull model; adaptive linear-quadratic detector; adaptive radar detectors; amplitude analysis; coherent detection; covariance matrix; first-order statistical analysis; generalized K model; generalized likelihood ratio test; log-normal model; non-Gaussian real sea clutter data; performance analysis; second-order statistical analysis; Covariance matrix; Detectors; Interference; Magnetic heads; Performance analysis; Predictive models; Radar clutter; Radar detection; Statistical analysis; Testing;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on