OFF-GRID

作品数:64被引量:51H指数:4
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相关作者:王伟丁丽陈卫东王天云尹治平更多>>
相关机构:重庆邮电大学电子科技大学哈尔滨工程大学中国卫星海上测控部更多>>
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Sparse Bayesian Learning Based Off-Grid Estimation of OTFS Channels with Doppler Squint
《Tsinghua Science and Technology》2024年第6期1821-1828,共8页Xuehan Wang Xu Shi Jintao Wang 
Orthogonal Time Frequency Space(OTFS)modulation has exhibited significant potential to further promote the performance of future wireless communication networks especially in high-mobility scenarios.In practical OTFS ...
关键词:orthogonal time frequency space modulation Doppler squint effect channel estimation sparse Bayesian learning 
Off-Grid Compressed Channel Estimation with Parallel Interference Cancellation for Millimeter Wave Massive MIMO
《China Communications》2024年第3期51-65,共15页Liu Jinru Tian Yongqing Liu Danpu Zhang Zhilong 
supported in part by the Beijing Natural Science Foundation under Grant No.L202003;the National Natural Science Foundation of China under Grant U22B2001 and 62271065;the Project of China Railway Corporation under Grant N2022G048.
Millimeter wave(mmWave)massive multiple-input multiple-output(MIMO)plays an important role in the fifth-generation(5G)mobile communications and beyond wireless communication systems owing to its potential of high capa...
关键词:channel estimation compressed sensing inter-path interference millimeter wave massive MIMO OFF-GRID parallel interference cancellation 
Off-Grid Sparse Bayesian Inference with Biased Total Grids for Dense Time Delay Estimation
《Journal of Shanghai Jiaotong university(Science)》2023年第6期763-771,共9页魏爽 李文瑶 苏颖 刘睿 
the National Natural Science Foundation of China(No.61401145);the Natural Science Foundation of Shanghai(No.19ZR1437600)。
For dense time delay estimation(TDE),when multiple time delays are located within a grid interval,it is dificult for the existing sparse Bayesian learning/inference(SBL/SBI)methods to obtain high estimation accuracy t...
关键词:OFF-GRID sparse Bayesian inference(SBI) time delay estimation(TDE) biased total grids(BTG) 
Off-grid DOA estimation via a deep learning framework
《Science China(Information Sciences)》2023年第12期218-233,共16页Yan HUANG Yanjun ZHANG Jun TAO Cai WEN Guisheng LIAO Wei HONG 
supported by National Natural Science Foundation of China (Grant No.61901112)。
Direction-of-arrival(DOA)estimation problem is one of the most important tasks for array signal processing.Conventional methods are limited by either the computational complexity or the resolution.In this paper,a nove...
关键词:direction-of-arrival(DOA)estimation deep learning(DL) OFF-GRID array signal processing 
Super-resolution DOA estimation for correlated off-grid signals via deep estimator被引量:1
《Journal of Systems Engineering and Electronics》2022年第6期1096-1107,共12页WU Shuang YUAN Ye ZHANG Weike YUAN Naichang 
This paper develops a deep estimator framework of deep convolution networks(DCNs)for super-resolution direction of arrival(DOA)estimation.In addition to the scenario of correlated signals,the quantization errors of th...
关键词:off-grid direction of arrival(DOA)estimation deep convolution network(DCN) correlated signal quantization error SUPER-RESOLUTION 
DOA Estimation Based on Root Sparse Bayesian Learning Under Gain and Phase Error被引量:2
《Journal of Communications and Information Networks》2022年第2期202-213,共12页Dingke Yu Xin Wang Wenwei Fang Zixian Ma Bing Lan Chunyi Song Zhiwei Xu 
National Natural Sci-ence Foundation of China(NSFC)(61971379);Key Research and Development Program of Zhejiang Province(2020C03100);Leading Innovative and Entrepreneur Team In-troduction Program of Zhejiang(2018R01001);Fundamental Research Funds for the Central Universities(226202200096);Program of Innovation 2030 on Smart Ocean in Zhejiang University(129000*194232201)。
The direction of arrival(DOA)is approximated by first-order Taylor expansion in most of the existing methods,which will lead to limited estimation accuracy when using coarse mesh owing to the off-grid error.In this pa...
关键词:direction of arrival estimation gain-phase error root sparse Bayesian learning off-grid error 
一种基于稀疏表示的Off-grid DOA估计方法
《信息化研究》2022年第2期18-22,共5页费晓超 
文章提出了一种基于改进信号模型的偏离网格(Off-grid)波达方向(DOA)估计方法,该模型基于稀疏空间协方差模型和泰勒展开下导向矢量的Off-grid表示。在此基础上,使用局部欠定系统解法(FOCUSS)解决稀疏恢复问题,并通过求解最小二乘(LS)问...
关键词:波达方向估计 稀疏表示 Off-grid模型 
RIS:Spatial-Wideband Effect Analysis and Off-Grid Channel Estimation
《ZTE Communications》2022年第1期57-62,共6页JIAN Mengnan ZHANG Nan CHEN Yijian 
As a critical candidate technology for 5G-advanced and 6G,reconfigurable intelligent surfaces(RIS)have received extensive atten-tion from academia and industry.RIS has the promising features of passiveness,reconfigura...
关键词:RIS channel estimation spatial-wideband effect compressed sensing 
OFF-grid full-dimension channel estimation for mm Wave/THz systems with angular block prior
《Science China(Information Sciences)》2021年第11期241-242,共2页Hongyun CHU Wei FENG Maoqi LI Zhichao ZHU Guilu WU 
supported by IoT Innovation Team for Talent Promotion Plan of Shaanxi Province(Grant No.2019TD-028);XUPT New Doctor Startup Funds(Grant No.101/205020044);Open Research Fund of National Mobile Communications Research Laboratory,Southeast University(Grant No.2020D17)。
Dear editor,The acquirement of the channel state information(CSI) is indispensable for designing efficient beamformers [1]. Unfortunately, estimating CSI is extremely challenging in the mm Wave/THz systems where the n...
关键词:channel estimation Wave 
基于变分稀疏贝叶斯的off-grid DOA估计被引量:1
《海南大学学报(自然科学版)》2019年第3期193-202,共10页冯晓敏 沈重 张鲲 
国家自然科学基金(61461017,61861015);海南省高等学校科学研究重点项目(Hnky2019ZD-35);海南省自然科学基金(2017CXTD0004)
针对传统稀疏贝叶斯学习方法在解决低信噪比条件下信号到达角DOA估计中,到达角不完全落在阵元端离散化网格点上的情况,提出了一种基于变分稀疏贝叶斯学习期望最大化的离格DOA处理方法.该方法首先对均匀线阵的实际接收信号off-grid情况...
关键词:DOA估计 OFF-GRID 稀疏贝叶斯学习 变分推断 期望最大化 
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