ILLUMINATOR OF OPPORTUNITY SELECTION FOR PASSIVE RADAR

被引:0
作者
Li, Yang [1 ]
He, Qian [1 ]
Blum, Rick S. [2 ]
机构
[1] Univ Elect Sci & Technol China, Chengdu 611731, Sichuan, Peoples R China
[2] Lehigh Univ, Bethlehem, PA 18015 USA
来源
2017 IEEE 7TH INTERNATIONAL WORKSHOP ON COMPUTATIONAL ADVANCES IN MULTI-SENSOR ADAPTIVE PROCESSING (CAMSAP) | 2017年
基金
美国国家科学基金会;
关键词
Passive radar; illuminators of opportunity selection (IOO); detection; Kullback-Leibler (KL) distance; MULTISTATIC RADAR; TRACKING; SYSTEMS; NETWORK;
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
Passive radar can obtain performance benefits by using multiple receivers and multiple illuminators of opportunity (IOO). However, employing a large number of IOOs is costly in terms of hardware. Thus, it is sometimes necessary to limit the total number of selected IOOs. The 100 selection scheme for maximizing target detection performance is studied in this paper, under the assumption that the number of IOOs that can he selected at each receiver is limited. An IOO selection algorithm based on maximizing the Kullback-Leibler (KL) distance is presented, which requires much lower computational complexity compared with the exhaustive search method and is shown to lead to a detection performance that is close enough to that of the optimal selection.
引用
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页数:5
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