Statistical feature selection of narrowband RCS sequence based on greedy algorithm

Xuehui Lei; Xiongjun Fu; Cai Wang; Meiguo Gao

doi:10.1109/CIE-Radar.2011.6159886

Statistical feature selection of narrowband RCS sequence based on greedy algorithm

Xuehui Lei, Xiongjun Fu^*, Cai Wang, Meiguo Gao

^*Corresponding author for this work

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

15 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings of 2011 IEEE CIE International Conference on Radar, RADAR 2011
Pages	1664-1667
Number of pages	4
DOIs	https://doi.org/10.1109/CIE-Radar.2011.6159886
Publication status	Published - 2011
Event	6th International Conference on Radar, RADAR 2011 - Chengdu, China Duration: 24 Oct 2011 → 27 Oct 2011

Publication series

Name	Proceedings of 2011 IEEE CIE International Conference on Radar, RADAR 2011
Volume	2

Conference

Conference	6th International Conference on Radar, RADAR 2011
Country/Territory	China
City	Chengdu
Period	24/10/11 → 27/10/11

Keywords

Cost function
Feature selection
Greedy algorithm
Narrowband RCS sequence
Target recognition

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10.1109/CIE-Radar.2011.6159886

Cite this

Lei, X., Fu, X., Wang, C., & Gao, M. (2011). Statistical feature selection of narrowband RCS sequence based on greedy algorithm. In Proceedings of 2011 IEEE CIE International Conference on Radar, RADAR 2011 (pp. 1664-1667). Article 6159886 (Proceedings of 2011 IEEE CIE International Conference on Radar, RADAR 2011; Vol. 2). https://doi.org/10.1109/CIE-Radar.2011.6159886

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title = "Statistical feature selection of narrowband RCS sequence based on greedy algorithm",

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 = "Cost function, Feature selection, Greedy algorithm, Narrowband RCS sequence, Target recognition",

author = "Xuehui Lei and Xiongjun Fu and Cai Wang and Meiguo Gao",

year = "2011",

doi = "10.1109/CIE-Radar.2011.6159886",

language = "English",

isbn = "9781424484416",

series = "Proceedings of 2011 IEEE CIE International Conference on Radar, RADAR 2011",

pages = "1664--1667",

booktitle = "Proceedings of 2011 IEEE CIE International Conference on Radar, RADAR 2011",

note = "6th International Conference on Radar, RADAR 2011 ; Conference date: 24-10-2011 Through 27-10-2011",

}

Lei, X, Fu, X, Wang, C & Gao, M 2011, Statistical feature selection of narrowband RCS sequence based on greedy algorithm. in Proceedings of 2011 IEEE CIE International Conference on Radar, RADAR 2011., 6159886, Proceedings of 2011 IEEE CIE International Conference on Radar, RADAR 2011, vol. 2, pp. 1664-1667, 6th International Conference on Radar, RADAR 2011, Chengdu, China, 24/10/11. https://doi.org/10.1109/CIE-Radar.2011.6159886

Statistical feature selection of narrowband RCS sequence based on greedy algorithm. / Lei, Xuehui; Fu, Xiongjun; Wang, Cai et al.
Proceedings of 2011 IEEE CIE International Conference on Radar, RADAR 2011. 2011. p. 1664-1667 6159886 (Proceedings of 2011 IEEE CIE International Conference on Radar, RADAR 2011; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Statistical feature selection of narrowband RCS sequence based on greedy algorithm

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AU - Fu, Xiongjun

AU - Wang, Cai

AU - Gao, Meiguo

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

KW - Cost function

KW - Feature selection

KW - Greedy algorithm

KW - Narrowband RCS sequence

KW - Target recognition

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DO - 10.1109/CIE-Radar.2011.6159886

M3 - Conference contribution

AN - SCOPUS:84858993944

SN - 9781424484416

T3 - Proceedings of 2011 IEEE CIE International Conference on Radar, RADAR 2011

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BT - Proceedings of 2011 IEEE CIE International Conference on Radar, RADAR 2011

T2 - 6th International Conference on Radar, RADAR 2011

Y2 - 24 October 2011 through 27 October 2011

ER -

Statistical feature selection of narrowband RCS sequence based on greedy algorithm

Abstract

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Keywords

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