中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Combined optimisation of waveform and quantisation thresholds for multistatic radar systems

文献类型:期刊论文

作者Xu, Zhiwei; Zhu, Jiang; Ji DX(冀大雄); Si BL(斯白露); Zhang X(张鑫); Gao Q(高庆); Zhang X(张鑫); Liu JG(刘金国)
刊名IET Signal Processing
出版日期2018
卷号12期号:5页码:559-565
ISSN号1751-9675
产权排序2
通讯作者Ji DX(冀大雄)
中文摘要The problem of designing waveform and quantisation thresholds is studied in a multistatic radar setting, where distributed receivers are connected to a fusion centre via capacity constraints. Different from the previous cloud radio-multistatic radar system which utilises an additive quantisation Gaussian noise model, a real quantisation system is designed. The authors first optimise the waveform without quantisation. Then they compress the received signal at receivers into a scalar without any performance degradation. Furthermore, the scalar quantiser is adopted and quantisation thresholds are designed. Numerical simulations are performed and the effectiveness of combined waveform and thresholds optimisation strategy is demonstrated.
收录类别SCI ; EI
语种英语
WOS记录号WOS:000435464300001
源URL[http://ir.sia.cn/handle/173321/22084]  
专题沈阳自动化研究所_空间自动化技术研究室
通讯作者Liu JG(刘金国)
作者单位1.State key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
2.Key Laboratory of Ocean Observation-Imaging Testbed of Zhejiang Province, Ocean College, Zhejiang University, No. 1 Zheda Road, Zhoushan 3160212, China
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GB/T 7714
Xu, Zhiwei,Zhu, Jiang,Ji DX,et al. Combined optimisation of waveform and quantisation thresholds for multistatic radar systems[J]. IET Signal Processing,2018,12(5):559-565.
APA Xu, Zhiwei.,Zhu, Jiang.,Ji DX.,Si BL.,张鑫.,...&刘金国.(2018).Combined optimisation of waveform and quantisation thresholds for multistatic radar systems.IET Signal Processing,12(5),559-565.
MLA Xu, Zhiwei,et al."Combined optimisation of waveform and quantisation thresholds for multistatic radar systems".IET Signal Processing 12.5(2018):559-565.

入库方式: OAI收割

来源:沈阳自动化研究所

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