RAO

作品数：212被引量：649H指数：13
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相关机构：新昌县发明协会国防科学技术大学西安电子科技大学上海理工大学更多>>
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Source localization and calibration using TDOA and FDOA measurements in the presence of sensor location uncertainty被引量：5
《Science China(Information Sciences)》2014年第4期152-163,共12页LI JinZhou GUO FuCheng JIANG WenLi 
supported in part by National High-tech R&D Program of China(863 Program)(Grant No.2011AA7072043);National Defense key Laboratory Foundation of China(Grant No.9140C860304);Fund of Innovation,Graduate School of National University of Defense Technology(Grant No.B120406);financial support from China Scholarship Council
Source localization accuracy is very sensitive to sensor location error. This paper performs analysis and develops a solution for locating a moving source using time difference of arrival （TDOA） and frequency differ...
关键词：source localization CALIBRATION time difference of arrival （TDOA） frequency difference of arrival（FDOA） seusor location uncertainty Cram6r-Rao lower bound （CRLB） 
Effective bias reduction methods for passive source localization using TDOA and GROA被引量：3
《Science China(Information Sciences)》2013年第7期93-104,共12页HAO BenJian LI Zan QI PeiHan GUAN Lei 
supported by Major National Science & Technology Projects (Grant No. 2010ZX03006-002-04);National Natural Science Foundation of China (Grant No. 61072070);Doctorial Programs Foundation of the Ministry of Education (Grant No. 20110203110011);Fundamental Research Funds of the Ministry of Education(Grant No. 72124338);Key Programs for Natural Science Foundation of Shaanxi Province (Grant No. 2012JZ-8002);111 Project (Grant No. B08038)
For passive source localization based on both TDOA and GROA, this paper proposes two bias reduction methods for the well-known Weighted-Least-Squares （WLS） estimator. We first derive the passive source localization ...
关键词：source localization bias reduction Time Differences of Arrival （TDOA） Gain Ratios of Arrival（GROA） Cram^r-Rao Lower Bound （CRLB） 
Adaptive detection for distributed targets in Gaussian noise with Rao and Wald tests被引量：5
《Science China(Information Sciences)》2012年第6期1290-1300,共11页SHUAI XiaoFei KONG LingJiang YANG JianYu 
supported by Fundamental Research Funds for the Central Universities
The problem of adaptively detecting a range distributed target or targets in Gaussian interference is considered in this paper.It is assumed that a set of secondary data is available.Firstly,we derive the adaptive Rao...
关键词：Rao and Wald tests adaptive detection distributed targets maximum likelihood estimator 
Target tracking in wireless sensor networks using adaptive measurement quantization被引量：16
《Science China(Information Sciences)》2012年第4期827-838,共12页ZHOU Yan LI JianXun WANG DongLi 
supported by National Natural Science Foundation of China(Grant Nos.60874104,60935001);National High-Tech Research & Development Program of China(Grant No.2009CB824900);Key Foundation for Basic Research from Shanghai(Grant No.08JC1411800)
Quantization/compression is usually adopted in wireless sensor networks （WSNs） since each sensor node typically has very limited power supply and communication bandwidth. We consider the problem of target tracking i...
关键词：target tracking wireless sensor network adaptive quantization posterior Cram^r-Rao lower bound 
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