The Feature Description Method of Radar Signal Based on Improved Kernel Density Estimation
2013 ◽
Vol 380-384
◽
pp. 3501-3504
Keyword(s):
According to the problem that the existing radar signal feature cannot effectively express and analysis its characteristic, a description method of radar emitter signal feature based on improved kernel density estimation is proposed. This improved kernel density estimation algorithm combine the selection of fixed window and variable window's width to achieve the window's width automatic adjustment value between the different estimation points based on the sample distribution. Then the probability density curve using kernel density estimation algorithm as radar emitter signal parameters characteristics stored into database.
2014 ◽
Vol 989-994
◽
pp. 3689-3692
2013 ◽
Vol 380-384
◽
pp. 3509-3512
2005 ◽
Vol 16
(1)
◽
pp. 225-236
◽
2020 ◽
Vol 615
◽
pp. 012062
2010 ◽
Vol 24
(5)
◽
pp. 643-660
◽
2011 ◽
pp. 153-179
◽
Keyword(s):