Sparse Array Design for Distributed Aperture Coherence-Synthetic Radar

被引：0

作者：

Yu, Xianxiang ^{[1
]}

Cui, Guolong ^{[1
]}

Gao, Shangwei ^{[2
]}

Kong, Lingjiang ^{[1
]}

Zhang, Tianxian ^{[1
]}

Yang, Jianyu ^{[1
]}

机构：

[1] Univ Elect Sci & Technol China, Chengdu, Peoples R China

[2] Sci & Technol Elect Informat Control Lab, Chengdu, Peoples R China

来源：

2016 CIE INTERNATIONAL CONFERENCE ON RADAR (RADAR) | 2016年

基金：

中国国家自然科学基金;

关键词：

Sparse Linear Array; Distributed Aperture Coherence-synthetic Radar; Antenna Size and Geography Constraints; Peak Sidelobe Level; SIDELOBE LEVEL; PHASED-ARRAYS; OPTIMIZATION; ANTENNAS;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper considers the sparse linear array (SLA) design problem of coherent unambiguous transmit for the distributed aperture coherence-synthetic radar (DACR), accounting for the antenna size constraint and geography constraint in which elements can not be placed in a given aperture. We develop the peak sidelobe level (PSL) based cost function, which considers the sum of the PSL when the mainlobe located at all scanning angles. Then, we derive the antenna element locations by minimizing the cost function through PSO algorithm. Finally, several numerical simulations verify the effectiveness of the proposed SLA design method.

引用

页数：5

共 50 条

[31] Distributed computing framework for synthetic aperture radar application
Gurrola, Eric M.
Rosen, Paul A.
Aivazis, Michael
2006 IEEE RADAR CONFERENCE, VOLS 1 AND 2, 2006, : 696 - +
[32] Compressed Synthetic Aperture Radar with Structurally Sparse Random Matrices
Sun, Jingming
Yu, Junpeng
2017 IEEE RADAR CONFERENCE (RADARCONF), 2017, : 1344 - 1347
[33] Microwave Synthetic Aperture Radar Imaging Using Sparse Measurement
Yang, Xiahan
Zheng, Yahong Rosa
Ghasr, Mohammad Tayeb
Donnell, Kristen M.
Zoughi, Reza
2016 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE PROCEEDINGS, 2016, : 1128 - 1132
[34] Sparse representation in structured dictionaries with application to synthetic aperture radar
Varshney, Kush R.
Cetin, Muejdat
Fisher, John W., III
Willsky, Alan S.
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2008, 56 (08) : 3548 - 3561
[35] Sparse Reconstruction for Synthetic Aperture Radar based on Split SPICE
Luo, Jiawei
Zhang, Yongchao
Mao, Dcqing
Zhang, Yin
Huang, Yulin
Yang, Jianyu
2020 IEEE RADAR CONFERENCE (RADARCONF20), 2020,
[36] Sparse representation-based synthetic aperture radar imaging
Samadi, S.
Cetin, M.
Masnadi-Shirazi, M. A.
IET RADAR SONAR AND NAVIGATION, 2011, 5 (02): : 182 - 193
[37] PRELIMINARY PERFORMANCE ANALYSIS AND DESIGN FOR A DISTRIBUTED P-BAND SYNTHETIC APERTURE RADAR
Alberti, Giovanni
Fasano, Giancarmine
D'Errico, Marco
Cesare, Stefano
Sechi, Gianfranco
Cosmo, Mario
Formaro, Roberto
Rioli, Quirino
2008 IEEE RADAR CONFERENCE, VOLS. 1-4, 2008, : 2016 - +
[38] The design and development of airborne synthetic aperture radar
Chan, YK
Azlindawaty, MK
Gobi, V
Chung, BK
Chuah, HT
IGARSS 2000: IEEE 2000 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOL I - VI, PROCEEDINGS, 2000, : 518 - 520
[39] Sparse Aperture Inverse Synthetic Aperture Radar Imaging Based on Gridless Compressive Sensing
Wu, Weitao
Li, Zhaolong
2019 INTERNATIONAL APPLIED COMPUTATIONAL ELECTROMAGNETICS SOCIETY SYMPOSIUM - CHINA (ACES), VOL 1, 2019,
[40] High-Resolution Inverse Synthetic Aperture Radar Imaging and Scaling With Sparse Aperture
Xu, Gang
Xing, Meng-Dao
Xia, Xiang-Gen
Chen, Qian-Qian
Zhang, Lei
Bao, Zheng
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2015, 8 (08) : 4010 - 4027

← 1 2 3 4 5 →