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
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;
Conference_Titel :
Radar (Radar), 2011 IEEE CIE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8444-7
DOI :
10.1109/CIE-Radar.2011.6159886
