Polarimetric STAP via clutter spectrum reconstruction

Kang Zhao; Yulin Huang; Zhiwen Liu; Yougen Xu; Shuli Shi

doi:10.1145/3364908.3364911

Polarimetric STAP via clutter spectrum reconstruction

Kang Zhao, Yulin Huang, Zhiwen Liu, Yougen Xu, Shuli Shi

集成电路与电子学院

Beijing Institute of Technology

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

A new polarimetric space-time adaptive processing (pSTAP) approach is proposed to clutter suppression for weak target detection under short data samples. In the method, the target vector (also known as the target polarization-space-time steering vector) is determined based on the maximum likelihood scheme, while the clutter polarization-space-time spectrum (profile) is reconstructed by using a newly developed polarimetric sparse recovery technique. Numerical results are given to illustrate the performance of the proposed method.

源语言	英语
主期刊名	SSPS 2019 - 2019 International Symposium on Signal Processing Systems
出版商	Association for Computing Machinery
页	99-102
页数	4
ISBN（电子版）	9781450362412
DOI	https://doi.org/10.1145/3364908.3364911
出版状态	已出版 - 20 9月 2019
活动	2019 International Symposium on Signal Processing Systems, SSPS 2019 - Beijing, 中国期限: 20 9月 2019 → 22 9月 2019

出版系列

姓名	ACM International Conference Proceeding Series

会议

会议	2019 International Symposium on Signal Processing Systems, SSPS 2019
国家/地区	中国
市	Beijing
时期	20/09/19 → 22/09/19

访问文件

10.1145/3364908.3364911

其它文件与链接

链接到 Scopus 的出版物

引用此

Zhao, K., Huang, Y., Liu, Z., Xu, Y., & Shi, S. (2019). Polarimetric STAP via clutter spectrum reconstruction. 在 SSPS 2019 - 2019 International Symposium on Signal Processing Systems (页码 99-102). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3364908.3364911

@inproceedings{82ebffa83fa94c728c91da4ffa81e527,

title = "Polarimetric STAP via clutter spectrum reconstruction",

abstract = "A new polarimetric space-time adaptive processing (pSTAP) approach is proposed to clutter suppression for weak target detection under short data samples. In the method, the target vector (also known as the target polarization-space-time steering vector) is determined based on the maximum likelihood scheme, while the clutter polarization-space-time spectrum (profile) is reconstructed by using a newly developed polarimetric sparse recovery technique. Numerical results are given to illustrate the performance of the proposed method.",

keywords = "Polarization-space-time adaptive processing, Sparse dictionary matrix, Spectrum estimation",

author = "Kang Zhao and Yulin Huang and Zhiwen Liu and Yougen Xu and Shuli Shi",

note = "Publisher Copyright: {\textcopyright} 2019 Association for Computing Machinery.; 2019 International Symposium on Signal Processing Systems, SSPS 2019 ; Conference date: 20-09-2019 Through 22-09-2019",

year = "2019",

month = sep,

day = "20",

doi = "10.1145/3364908.3364911",

language = "English",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery",

pages = "99--102",

booktitle = "SSPS 2019 - 2019 International Symposium on Signal Processing Systems",

}

Zhao, K, Huang, Y, Liu, Z, Xu, Y & Shi, S 2019, Polarimetric STAP via clutter spectrum reconstruction. 在 SSPS 2019 - 2019 International Symposium on Signal Processing Systems. ACM International Conference Proceeding Series, Association for Computing Machinery, 页码 99-102, 2019 International Symposium on Signal Processing Systems, SSPS 2019, Beijing, 中国, 20/09/19. https://doi.org/10.1145/3364908.3364911

TY - GEN

T1 - Polarimetric STAP via clutter spectrum reconstruction

AU - Zhao, Kang

AU - Huang, Yulin

AU - Liu, Zhiwen

AU - Xu, Yougen

AU - Shi, Shuli

PY - 2019/9/20

Y1 - 2019/9/20

N2 - A new polarimetric space-time adaptive processing (pSTAP) approach is proposed to clutter suppression for weak target detection under short data samples. In the method, the target vector (also known as the target polarization-space-time steering vector) is determined based on the maximum likelihood scheme, while the clutter polarization-space-time spectrum (profile) is reconstructed by using a newly developed polarimetric sparse recovery technique. Numerical results are given to illustrate the performance of the proposed method.

AB - A new polarimetric space-time adaptive processing (pSTAP) approach is proposed to clutter suppression for weak target detection under short data samples. In the method, the target vector (also known as the target polarization-space-time steering vector) is determined based on the maximum likelihood scheme, while the clutter polarization-space-time spectrum (profile) is reconstructed by using a newly developed polarimetric sparse recovery technique. Numerical results are given to illustrate the performance of the proposed method.

KW - Polarization-space-time adaptive processing

KW - Sparse dictionary matrix

KW - Spectrum estimation

UR - http://www.scopus.com/inward/record.url?scp=85077216301&partnerID=8YFLogxK

U2 - 10.1145/3364908.3364911

DO - 10.1145/3364908.3364911

M3 - Conference contribution

AN - SCOPUS:85077216301

T3 - ACM International Conference Proceeding Series

SP - 99

EP - 102

BT - SSPS 2019 - 2019 International Symposium on Signal Processing Systems

PB - Association for Computing Machinery

T2 - 2019 International Symposium on Signal Processing Systems, SSPS 2019

Y2 - 20 September 2019 through 22 September 2019

ER -

Polarimetric STAP via clutter spectrum reconstruction

摘要

出版系列

会议

访问文件

其它文件与链接

指纹

引用此