DocumentCode
3414588
Title
Statistical feature selection of narrowband RCS sequence based on greedy algorithm
Author
Lei, Xuehui ; Fu, Xiongjun ; Wang, Cai ; Gao, Meiguo
Author_Institution
Radar Res. Lab., Beijing Inst. of Technol., Beijing, China
Volume
2
fYear
2011
fDate
24-27 Oct. 2011
Firstpage
1664
Lastpage
1667
Abstract
Greedy algorithm is introduced to select the statistical features of narrowband RCS sequences. A novel cost function for Greedy algorithm is proposed. The experiment results demonstrate the rationality of the novel cost function and the effectiveness of Greedy algorithm.
Keywords
greedy algorithms; radar cross-sections; radar target recognition; statistical analysis; cost function; greedy algorithm; narrowband RCS sequence; radar cross-sections; statistical feature selection; Cost function; Feature extraction; Greedy algorithms; Narrowband; Radar cross section; Search methods; Target recognition; cost function; feature selection; greedy algorithm; narrowband RCS sequence; target recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Radar (Radar), 2011 IEEE CIE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-8444-7
Type
conf
DOI
10.1109/CIE-Radar.2011.6159886
Filename
6159886
Link To Document