欢迎您!
东篱公司
退出
申报数据库
申报指南
立项数据库
成果数据库
期刊论文
会议论文
著 作
专 利
项目获奖数据库
位置:
成果数据库
>
会议
> 会议详情页
Expectation Maximization-Based Passive Localization in Asynchronous Wireless Networks
所属机构名称:北京理工大学
会议名称:2015 IEEE/CIC International Conference on Communications in China (ICCC 2015)
时间:2015.11.2
成果类型:会议
相关项目:时频双选信道中基于变分推理的迭代接收技术
同会议论文项目
时频双选信道中基于变分推理的迭代接收技术
期刊论文 15
会议论文 20
同项目会议论文
Design and performance analysis of adaptation for broadband satellite networks
Maximum Likelihood SNR Estimator for Coded M-APSK Signals in Slow Fading Channels
Maximum likelihood localization using a priori position information of inaccurate anchors
Gaussian message passing for cooperative localization in wireless networks
Variational message passing for joint localization and synchronization in wireless sensor networks
Code-aided iterative SNR estimator for M-APSK signals based on expectation maximization algorithm
Gaussian belief propagation for joint localization and synchronization in sensor networks
Distributed Passive Localization with Asynchronous Receivers Based on Expectation Maximization
Gaussian message-based cooperative localization on factor graph in wireless sensor networks
A low-complexity cooperative localization algorithm based on variational message passing in wireless
Passive localization with inaccurate receivers based on Gaussian belief propagation on factor graph
Maximum likelihood SNR Estimator for Coded APSK Signals in Slow Fading Channels
A Low Complexity SNR Estimator for QPSK Modulation in AWGN Channel
Particle swarm optimization-based particle filter for cooperative localization in wireless networks
A message passing approach to joint channel estimation and decoding with carrier frequency offset in
Multipath-aided Passive Localization using Inaccurate Receiver based on Factor Graph
Joint Channel Response, Phase Noise Estimation and Decoding in Time-selective Flat Rayleigh Fading C
Evaluation of Cramer-Rao bounds for phase estimation of coded linearly modulated signals
Nodes localization with inaccurate anchors via EM algorithm in wireless sensor networks