Radar target recognition based on the compounded density estimation of GammaSLC
Junli Liang · Systems engineering and electronics · 2008
A novel HRRP probability density estimate method,namely Gamma-SLC,is presented by combining Gamma model and stochastic learning of the cumulative(SLC).The presented method has the advantages of high pertinence and high accuracy from Gamma distribution and high adaptability from SLC,but avoids the disadvantage of both.In addition,a new criterion for evaluating the estimation of probability density is designed based on maximum-entropy non-Gaussian measurement.Experimental results using outfield real data demonstrate the validity of the presented method.